codebase-memory-mcp-intelligence

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codebase-memory-mcp Intelligence

codebase-memory-mcp 代码智能

Skill by ara.so — MCP Skills collection.

ara.so 提供的 Skill——MCP Skills 集合。

Overview

概述

codebase-memory-mcp is a high-performance code intelligence MCP server that indexes codebases into persistent knowledge graphs. It parses 155 languages using tree-sitter ASTs, resolves call graphs, detects HTTP routes, and enables sub-millisecond structural queries. The Linux kernel (28M LOC) indexes in 3 minutes; average repos in milliseconds.

Key capabilities:

Graph-based code intelligence: Functions, classes, calls, imports, inheritance as queryable nodes/edges
Structural search: Find symbols by pattern, trace call chains, detect dead code
Architecture analysis: Community detection, hotspots, layering, cross-service HTTP linking
Semantic search: Vector search with bundled embeddings (no API key required)
155 languages: Tree-sitter grammars compiled into a single static binary
14 MCP tools: All accessible via natural language in any compatible agent

codebase-memory-mcp 是一个高性能代码智能 MCP 服务器，可将代码库索引为持久化知识图谱。它使用 tree-sitter AST 解析 155 种语言，解析调用图、检测 HTTP 路由，并支持亚毫秒级结构化查询。Linux 内核（2800 万行代码）可在 3 分钟内完成索引；普通仓库仅需数毫秒。

主要功能：

基于图谱的代码智能：将函数、类、调用、导入和继承关系表示为可查询的节点/边
结构化搜索：按模式查找符号、追踪调用链、检测死代码
架构分析：社区检测、热点分析、分层分析、跨服务 HTTP 关联
语义搜索：使用内置 embeddings 进行向量搜索（无需 API key）
155 种语言：将 Tree-sitter grammars 编译为单一静态二进制文件
14 个 MCP 工具：任何兼容的 agent 均可通过自然语言使用全部工具

Installation

安装

Quick Install (macOS/Linux)

快速安装（macOS/Linux）

bash

undefined

bash

undefined

Standard version

curl -fsSL https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/install.sh | bash

With graph visualization UI

curl -fsSL https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/install.sh | bash -s -- --ui

undefined

curl -fsSL https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/install.sh | bash -s -- --ui

undefined

Windows (PowerShell)

Windows（PowerShell）

powershell

Invoke-WebRequest -Uri https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/install.ps1 -OutFile install.ps1
.\install.ps1

powershell

Invoke-WebRequest -Uri https://raw.githubusercontent.com/DeusData/codebase-memory-mcp/main/install.ps1 -OutFile install.ps1
.\install.ps1

Manual Installation

手动安装

Download from releases:

bash

undefined

从 releases 下载：

bash

undefined

Extract and run installer

tar xzf codebase-memory-mcp-*.tar.gz ./install.sh


The installer auto-detects Claude Code, Cursor, Codex CLI, Gemini CLI, Zed, OpenCode, Aider, VS Code, and other agents, configuring MCP entries automatically.

tar xzf codebase-memory-mcp-*.tar.gz ./install.sh


安装程序会自动检测 Claude Code、Cursor、Codex CLI、Gemini CLI、Zed、OpenCode、Aider、VS Code 和其他 agent，并自动配置 MCP 条目。

Verify Installation

验证安装

bash

codebase-memory-mcp --version

Restart your coding agent after installation.

bash

codebase-memory-mcp --version

安装后，请重启你的 coding agent。

Core Usage Patterns

核心使用模式

Indexing a Codebase

索引代码库

Via agent (recommended):

User: Index this project

The MCP server will call

index_repository

with the current working directory.

Via CLI:

bash

codebase-memory-mcp index /path/to/repo

Enable auto-indexing:

bash

codebase-memory-mcp config set auto_index true
codebase-memory-mcp config set auto_index_limit 50000

Auto-index runs on MCP session start for new projects and registers existing projects with the background file watcher.

通过 agent（推荐）：

User: Index this project

MCP 服务器将使用当前工作目录调用

index_repository

。

通过 CLI：

bash

codebase-memory-mcp index /path/to/repo

启用自动索引：

bash

codebase-memory-mcp config set auto_index true
codebase-memory-mcp config set auto_index_limit 50000

自动索引会在 MCP 会话启动时为新项目运行，并将现有项目注册到后台文件监视器。

Architecture Overview

架构概览

Get a complete architectural summary in one call:

User: Show me the architecture of this codebase

This invokes

get_architecture

which returns:

Languages and package structure
Entry points (main functions, HTTP handlers)
HTTP/gRPC/GraphQL routes
Hotspot functions (high in/out degree)
Module boundaries via Louvain clustering
Layering analysis (presentation/business/data)

Example response structure:

json

{
  "languages": ["TypeScript", "Python", "Go"],
  "packages": ["src/api", "src/services", "src/models"],
  "entry_points": [
    {"name": "main", "file": "src/index.ts", "type": "Function"}
  ],
  "routes": [
    {"path": "/api/users", "method": "GET", "handler": "getUsers", "file": "src/api/users.ts"}
  ],
  "hotspots": [
    {"name": "processRequest", "in_degree": 15, "out_degree": 8, "file": "src/services/request.ts"}
  ],
  "boundaries": [
    {"module": "Community_0", "members": ["src/api/*"], "internal_edges": 45, "external_edges": 12}
  ]
}

通过一次调用获取完整的架构摘要：

User: Show me the architecture of this codebase

这将调用

get_architecture

，并返回：

语言和包结构
入口点（main 函数、HTTP 处理器）
HTTP/gRPC/GraphQL 路由
热点函数（高入度/出度）
通过 Louvain 聚类识别模块边界
分层分析（展示层/业务层/数据层）

示例响应结构：

json

{
  "languages": ["TypeScript", "Python", "Go"],
  "packages": ["src/api", "src/services", "src/models"],
  "entry_points": [
    {"name": "main", "file": "src/index.ts", "type": "Function"}
  ],
  "routes": [
    {"path": "/api/users", "method": "GET", "handler": "getUsers", "file": "src/api/users.ts"}
  ],
  "hotspots": [
    {"name": "processRequest", "in_degree": 15, "out_degree": 8, "file": "src/services/request.ts"}
  ],
  "boundaries": [
    {"module": "Community_0", "members": ["src/api/*"], "internal_edges": 45, "external_edges": 12}
  ]
}

Searching the Graph

搜索图谱

Find symbols by name pattern:

User: Find all functions with "Handler" in the name

Uses

search_graph

json

{
  "name_pattern": ".*Handler.*",
  "labels": ["Function"]
}

Find high-degree nodes:

User: Show me the most called functions

json

{
  "labels": ["Function"],
  "min_in_degree": 5,
  "limit": 20
}

Scope to specific files:

User: Find all classes in the auth module

json

{
  "labels": ["Class"],
  "file_pattern": ".*/auth/.*"
}

按名称模式查找符号：

User: Find all functions with "Handler" in the name

使用

search_graph

：

json

{
  "name_pattern": ".*Handler.*",
  "labels": ["Function"]
}

查找高连接度节点：

User: Show me the most called functions

json

{
  "labels": ["Function"],
  "min_in_degree": 5,
  "limit": 20
}

限定到特定文件：

User: Find all classes in the auth module

json

{
  "labels": ["Class"],
  "file_pattern": ".*/auth/.*"
}

Call Tracing

调用追踪

Find all callers:

User: What calls the authenticate function?

Uses

get_callers

json

{
  "symbol_name": "authenticate",
  "max_depth": 3
}

Trace call chain:

User: Trace the execution path from main to database functions

Uses

trace_symbol

json

{
  "symbol_name": "main",
  "direction": "outgoing",
  "max_depth": 5,
  "edge_types": ["CALLS"]
}

查找所有调用方：

User: What calls the authenticate function?

使用

get_callers

：

json

{
  "symbol_name": "authenticate",
  "max_depth": 3
}

追踪调用链：

User: Trace the execution path from main to database functions

使用

trace_symbol

：

json

{
  "symbol_name": "main",
  "direction": "outgoing",
  "max_depth": 5,
  "edge_types": ["CALLS"]
}

Semantic Search

语义搜索

Find related code by concept:

User: Find authentication-related functions

Uses

semantic_query

json

{
  "query": "authentication jwt token validation",
  "limit": 10
}

Semantic search uses bundled Nomic embeddings (no API key required) with 11-signal scoring:

TF-IDF relevance
AST structural similarity
API signature matching
Data flow patterns
MinHash near-clone detection

按概念查找相关代码：

User: Find authentication-related functions

使用

semantic_query

：

json

{
  "query": "authentication jwt token validation",
  "limit": 10
}

语义搜索使用内置的 Nomic embeddings（无需 API key），并采用 11 项信号评分：

TF-IDF 相关性
AST 结构相似度
API 签名匹配
数据流模式
MinHash 近似克隆检测

Cypher-Like Queries

类 Cypher 查询

Advanced graph queries:

User: Run a Cypher query to find all functions that call database operations

Uses

cypher_query

cypher

MATCH (f:Function)-[:CALLS]->(db:Function)
WHERE db.name CONTAINS 'query' OR db.name CONTAINS 'exec'
RETURN f.name, f.file, COUNT(db) as db_calls
ORDER BY db_calls DESC
LIMIT 20

Find inheritance hierarchies:

cypher

MATCH (c:Class)-[:INHERITS*1..3]->(base:Class)
WHERE base.name = 'BaseModel'
RETURN c.name, c.file

HTTP route to implementation:

cypher

MATCH (r:Route)-[:HANDLED_BY]->(h:Function)-[:CALLS]->(s:Function)
WHERE r.path CONTAINS '/api/users'
RETURN r.path, h.name, COLLECT(s.name) as services

高级图查询：

User: Run a Cypher query to find all functions that call database operations

使用

cypher_query

：

cypher

MATCH (f:Function)-[:CALLS]->(db:Function)
WHERE db.name CONTAINS 'query' OR db.name CONTAINS 'exec'
RETURN f.name, f.file, COUNT(db) as db_calls
ORDER BY db_calls DESC
LIMIT 20

查找继承层次结构：

cypher

MATCH (c:Class)-[:INHERITS*1..3]->(base:Class)
WHERE base.name = 'BaseModel'
RETURN c.name, c.file

从 HTTP 路由到实现的映射：

cypher

MATCH (r:Route)-[:HANDLED_BY]->(h:Function)-[:CALLS]->(s:Function)
WHERE r.path CONTAINS '/api/users'
RETURN r.path, h.name, COLLECT(s.name) as services

Dead Code Detection

死代码检测

User: Find unused functions

Uses

find_dead_code

json

{
  "entry_points": ["main", "handler"],
  "min_depth": 2
}

Returns functions with zero incoming

CALLS

edges, excluding recognized entry points (main, init, handlers, tests).

User: Find unused functions

使用

find_dead_code

：

json

{
  "entry_points": ["main", "handler"],
  "min_depth": 2
}

返回没有任何传入

CALLS

边的函数，并排除已识别的入口点（main、init、handlers、tests）。

Change Impact Analysis

变更影响分析

Detect impact of uncommitted changes:

User: What's affected by my recent changes?

Uses

detect_changes

json

{
  "include_tests": true
}

Returns:

Changed symbols with confidence scores
Affected downstream symbols (via call graph)
Risk classification (CRITICAL/HIGH/MEDIUM/LOW)
Test coverage mapping

Example response:

json

{
  "changed_symbols": [
    {
      "name": "authenticate",
      "type": "Function",
      "file": "src/auth.ts",
      "confidence": 0.95,
      "change_type": "modified"
    }
  ],
  "affected_symbols": [
    {
      "name": "loginHandler",
      "type": "Function",
      "file": "src/handlers/login.ts",
      "distance": 1,
      "risk": "HIGH"
    }
  ]
}

检测未提交更改的影响：

User: What's affected by my recent changes?

使用

detect_changes

：

json

{
  "include_tests": true
}

发生更改的符号及其置信度分数
受影响的下游符号（通过调用图确定）
风险分类（CRITICAL/HIGH/MEDIUM/LOW）
测试覆盖映射

示例响应：

json

{
  "changed_symbols": [
    {
      "name": "authenticate",
      "type": "Function",
      "file": "src/auth.ts",
      "confidence": 0.95,
      "change_type": "modified"
    }
  ],
  "affected_symbols": [
    {
      "name": "loginHandler",
      "type": "Function",
      "file": "src/handlers/login.ts",
      "distance": 1,
      "risk": "HIGH"
    }
  ]
}

Architecture Decision Records (ADR)

架构决策记录（ADR）

Create ADR:

User: Document our decision to use Redis for session storage

Uses

manage_adr

json

{
  "action": "create",
  "title": "Use Redis for Session Storage",
  "status": "accepted",
  "context": "Need fast, distributed session management",
  "decision": "Adopt Redis with session TTL and clustering",
  "consequences": "Requires Redis infrastructure; enables horizontal scaling"
}

List ADRs:

User: Show all architecture decisions

json

{
  "action": "list"
}

Update ADR:

json

{
  "action": "update",
  "id": "ADR-001",
  "status": "superseded"
}

创建 ADR：

User: Document our decision to use Redis for session storage

使用

manage_adr

：

json

{
  "action": "create",
  "title": "Use Redis for Session Storage",
  "status": "accepted",
  "context": "Need fast, distributed session management",
  "decision": "Adopt Redis with session TTL and clustering",
  "consequences": "Requires Redis infrastructure; enables horizontal scaling"
}

列出 ADR：

User: Show all architecture decisions

json

{
  "action": "list"
}

更新 ADR：

json

{
  "action": "update",
  "id": "ADR-001",
  "status": "superseded"
}

Cross-Service Analysis

跨服务分析

Find HTTP call sites:

User: Show all external API calls

Uses

search_graph

with HTTP edge filters:

json

{
  "edge_types": ["HTTP_CALLS"],
  "labels": ["Function"]
}

Trace cross-service dependencies:

cypher

MATCH (f:Function)-[:HTTP_CALLS]->(r:Route)
RETURN f.name, f.file, r.path, r.method

查找 HTTP 调用点：

User: Show all external API calls

使用带有 HTTP 边筛选条件的

search_graph

：

json

{
  "edge_types": ["HTTP_CALLS"],
  "labels": ["Function"]
}

追踪跨服务依赖：

cypher

MATCH (f:Function)-[:HTTP_CALLS]->(r:Route)
RETURN f.name, f.file, r.path, r.method

Configuration

配置

View Current Config

查看当前配置

bash

codebase-memory-mcp config list

bash

codebase-memory-mcp config list

Key Settings

关键设置

bash

undefined

bash

undefined

Auto-index on session start

codebase-memory-mcp config set auto_index true

File limit for auto-indexing

codebase-memory-mcp config set auto_index_limit 50000

Enable background file watcher

codebase-memory-mcp config set watch true

Embedding model (default: nomic-embed-code)

codebase-memory-mcp config set embedding_model nomic-embed-code

Graph visualization port

codebase-memory-mcp config set ui_port 9749

undefined

codebase-memory-mcp config set ui_port 9749

undefined

Ignore Patterns

忽略规则

Create

.cbmignore

in your repo root (gitignore syntax):

node_modules/
*.test.ts
dist/
build/
*.min.js
vendor/

Default ignores:

node_modules

.git

dist

build

vendor

.venv

__pycache__

在仓库根目录创建

.cbmignore

（使用 gitignore 语法）：

node_modules/
*.test.ts
dist/
build/
*.min.js
vendor/

默认忽略：

node_modules

、

.git

、

dist

、

build

、

vendor

、

.venv

、

__pycache__

Advanced Features

高级功能

Graph Visualization UI

图谱可视化 UI

Launch with UI enabled:

bash

codebase-memory-mcp --ui=true --port=9749

Open

http://localhost:9749

for 3D interactive graph exploration.

Features:

Force-directed layout with community coloring
Filter by label, file, package
Click nodes to see properties and edges
Multi-galaxy layout for cross-repo graphs

启用 UI 后启动：

bash

codebase-memory-mcp --ui=true --port=9749

打开

http://localhost:9749

，进行 3D 交互式图谱浏览。

功能包括：

采用社区着色的力导向布局
按节点标签、文件和包筛选
点击节点查看属性和边
面向跨仓库图谱的多星系布局

Team-Shared Graph Artifact

团队共享图谱产物

Commit compressed graph to avoid reindexing:

bash

undefined

提交压缩后的图谱，避免重复索引：

bash

undefined

After indexing, compress the graph

codebase-memory-mcp export --output=.codebase-memory/graph.db.zst

Commit to repo

git add .codebase-memory/graph.db.zst git commit -m "Add codebase graph snapshot"


Teammates run:
```bash
codebase-memory-mcp import --input=.codebase-memory/graph.db.zst

git add .codebase-memory/graph.db.zst git commit -m "Add codebase graph snapshot"


团队成员运行：
```bash
codebase-memory-mcp import --input=.codebase-memory/graph.db.zst

CLI Mode

CLI 模式

Use without MCP for scripting:

bash

undefined

无需 MCP 即可编写脚本：

bash

undefined

Search

codebase-memory-mcp cli search_graph '{"name_pattern": ".*Service$", "labels": ["Class"]}'

Cypher query

codebase-memory-mcp cli cypher_query 'MATCH (f:Function) WHERE f.name = "main" RETURN f'

Get architecture

codebase-memory-mcp cli get_architecture '{}'

Semantic search

codebase-memory-mcp cli semantic_query '{"query": "database connection pooling", "limit": 5}'

undefined

codebase-memory-mcp cli semantic_query '{"query": "database connection pooling", "limit": 5}'

undefined

Language-Specific Features

各语言专属功能

Go:

Package resolution via
```
go.mod
```
Interface implementation detection
Struct method resolution

TypeScript/JavaScript:

JSX component tracing
Type inference from JSDoc
Import alias resolution
Decorator detection

Python:

Class hierarchy via
```
INHERITS
```
Decorator-based route detection (Flask, FastAPI)
Import resolution via
```
pyproject.toml
```
,
```
setup.py
```

C/C++:

Header/implementation linking
Preprocessor-aware parsing
Template instantiation tracking

Go：

通过
```
go.mod
```
解析包
检测接口实现
解析结构体方法

TypeScript/JavaScript：

追踪 JSX 组件
基于 JSDoc 进行类型推断
解析导入别名
检测装饰器

Python：

通过
```
INHERITS
```
获取类层次结构
基于装饰器的路由检测（Flask、FastAPI）
通过
```
pyproject.toml
```
、
```
setup.py
```
解析导入

C/C++：

关联头文件与实现
感知预处理器的解析
跟踪模板实例化

Infrastructure-as-Code

基础设施即代码

Kubernetes manifests:

User: Show all Kubernetes resources

json

{
  "labels": ["Resource"],
  "properties": {"kind": "Deployment"}
}

Kustomize overlays:

cypher

MATCH (overlay:Module)-[:IMPORTS]->(base:Resource)
WHERE overlay.type = 'kustomize'
RETURN overlay.name, COLLECT(base.name) as resources

Dockerfile analysis:

User: Find all services using Node 18

json

{
  "labels": ["Dockerfile"],
  "code_pattern": "FROM node:18"
}

Kubernetes 清单：

User: Show all Kubernetes resources

json

{
  "labels": ["Resource"],
  "properties": {"kind": "Deployment"}
}

Kustomize 覆盖层：

cypher

MATCH (overlay:Module)-[:IMPORTS]->(base:Resource)
WHERE overlay.type = 'kustomize'
RETURN overlay.name, COLLECT(base.name) as resources

Dockerfile 分析：

User: Find all services using Node 18

json

{
  "labels": ["Dockerfile"],
  "code_pattern": "FROM node:18"
}

Troubleshooting

故障排除

Indexing Issues

索引问题

Large repos timing out:

bash

undefined

大型仓库索引超时：

bash

undefined

Increase memory limit (default: 8GB)

codebase-memory-mcp config set max_memory_gb 16

Skip large files

codebase-memory-mcp config set max_file_size_mb 5


**Missing symbols:**
- Check `.cbmignore` — ensure source files aren't excluded
- Verify language support: `codebase-memory-mcp --languages`
- Re-index: `codebase-memory-mcp index --force /path/to/repo`

**Slow queries:**
```bash

codebase-memory-mcp config set max_file_size_mb 5


**符号缺失：**
- 检查 `.cbmignore`，确保源文件未被排除
- 验证语言支持情况：`codebase-memory-mcp --languages`
- 重新索引：`codebase-memory-mcp index --force /path/to/repo`

**查询缓慢：**
```bash

Rebuild indexes

codebase-memory-mcp cli vacuum

Check database size

ls -lh ~/.cache/codebase-memory-mcp/graph.db

undefined

ls -lh ~/.cache/codebase-memory-mcp/graph.db

undefined

MCP Connection Issues

MCP 连接问题

Agent can't find server:

Verify installation:
```
which codebase-memory-mcp
```
Check agent config:
```
codebase-memory-mcp config verify
```
Restart agent completely
Check logs:
```
~/.cache/codebase-memory-mcp/logs/
```

Tools not appearing:

bash

undefined

Agent 找不到服务器：

验证安装：
```
which codebase-memory-mcp
```
检查 agent 配置：
```
codebase-memory-mcp config verify
```
完整重启 agent
查看日志：
```
~/.cache/codebase-memory-mcp/logs/
```

工具未出现：

bash

undefined

Reinstall agent configs

codebase-memory-mcp install --force

Verify MCP registration

codebase-memory-mcp config show-mcp-config

undefined

codebase-memory-mcp config show-mcp-config

undefined

Performance

性能

High memory usage during indexing:

Normal for large repos (Linux kernel uses ~6GB peak)
Memory released after indexing completes
Use
```
--max-memory-gb
```
flag to cap usage

Slow semantic search:

bash

undefined

索引期间内存占用过高：

对于大型仓库属于正常现象（Linux 内核峰值约占用 6GB）
索引完成后会释放内存
使用
```
--max-memory-gb
```
参数限制用量

语义搜索缓慢：

bash

undefined

Rebuild embeddings index

codebase-memory-mcp cli rebuild_embeddings

Reduce result limit

codebase-memory-mcp config set semantic_limit 10

undefined

codebase-memory-mcp config set semantic_limit 10

undefined

File Watcher

文件监视器

Changes not detected:

bash

undefined

未检测到更改：

bash

undefined

Check watcher status

codebase-memory-mcp status

Restart watcher

codebase-memory-mcp watch restart

Increase file watch limit (Linux)

echo fs.inotify.max_user_watches=524288 | sudo tee -a /etc/sysctl.conf sudo sysctl -p

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echo fs.inotify.max_user_watches=524288 | sudo tee -a /etc/sysctl.conf sudo sysctl -p

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Common Workflows

常见工作流

Onboarding to New Codebase

熟悉新代码库

1. "Index this project"
2. "Show me the architecture"
3. "What are the entry points?"
4. "Find the main HTTP routes"
5. "Show me the most important functions" (hotspots)

1. "Index this project"
2. "Show me the architecture"
3. "What are the entry points?"
4. "Find the main HTTP routes"
5. "Show me the most important functions" (hotspots)

Refactoring

重构

1. "Find all callers of [function]"
2. "What's affected by my changes?" (after editing)
3. "Show me the call chain from [entry] to [target]"
4. "Find dead code"

1. "Find all callers of [function]"
2. "What's affected by my changes?" (after editing)
3. "Show me the call chain from [entry] to [target]"
4. "Find dead code"

Debugging

调试

1. "Trace execution from [function]"
2. "What calls this endpoint?" (for HTTP routes)
3. "Find similar functions to [name]"
4. "Show data flow through [function]"

1. "Trace execution from [function]"
2. "What calls this endpoint?" (for HTTP routes)
3. "Find similar functions to [name]"
4. "Show data flow through [function]"

Cross-Service Analysis

跨服务分析

1. "Find all external API calls"
2. "Show services that depend on [service]"
3. "Map HTTP routes to implementations"
4. "Find pub-sub channels across repos"

1. "Find all external API calls"
2. "Show services that depend on [service]"
3. "Map HTTP routes to implementations"
4. "Find pub-sub channels across repos"

MCP Tools Reference

MCP 工具参考

Tool	Purpose
`index_repository`	Index codebase into knowledge graph
`search_graph`	Structural search by pattern, label, degree
`search_code`	Graph-augmented grep
`semantic_query`	Vector search with bundled embeddings
`get_architecture`	Full architectural summary
`get_callers`	Find all callers of a symbol
`trace_symbol`	Trace call chains (in/out)
`cypher_query`	Advanced graph queries
`find_dead_code`	Detect unused functions
`detect_changes`	Git diff impact analysis
`manage_adr`	Architecture Decision Records
`get_context`	Context for specific symbols
`list_routes`	All HTTP/gRPC/GraphQL routes
`analyze_dependencies`	Cross-service dependency graph

工具	用途
`index_repository`	将代码库索引到知识图谱
`search_graph`	按模式、标签和度数进行结构化搜索
`search_code`	图谱增强的 grep
`semantic_query`	使用内置 embeddings 进行向量搜索
`get_architecture`	获取完整的架构摘要
`get_callers`	查找符号的所有调用方
`trace_symbol`	追踪调用链（入向/出向）
`cypher_query`	执行高级图查询
`find_dead_code`	检测未使用的函数
`detect_changes`	Git diff 影响分析
`manage_adr`	管理架构决策记录
`get_context`	获取特定符号的上下文
`list_routes`	列出所有 HTTP/gRPC/GraphQL 路由
`analyze_dependencies`	构建跨服务依赖图

Updates

更新

bash

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bash

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Check for updates

codebase-memory-mcp update

Auto-update check on startup (default: enabled)

codebase-memory-mcp config set check_updates true


The server notifies on first tool call if a new release is available.

codebase-memory-mcp config set check_updates true


如果有新版本可用，服务器会在首次调用工具时发出通知。

Uninstall

卸载

bash

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bash

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Remove all agent configs and binary

codebase-memory-mcp uninstall

Keep database (default)

Or remove database too:

rm -rf ~/.cache/codebase-memory-mcp/

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rm -rf ~/.cache/codebase-memory-mcp/

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