# Codebase Memory MCP

> Use when index codebases into a persistent knowledge graph for structural code queries, call-chain tracing, and semantic search. Use when navigating unfamiliar repos, understanding architecture, or exploring large codebases.

- Skill: `oyi77/codebase-memory-mcp` (Agent Skill)
- Install (CLI): `npx skillmds add oyi77/codebase-memory-mcp`
- Raw SKILL.md: https://api.skillmd.com/api/skills/oyi77/codebase-memory-mcp/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: Apache-2.0
- Author: oyi77 (https://skillmd.com/u/oyi77)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/oyi77/codebase-memory-mcp

---


# Codebase Memory Mcp

## When to Use

**Trigger phrases:**
- "codebase memory mcp"
- "Navigating an unfamiliar codebase (first time exploring)"
- "Understanding architecture: "What are the main modules and how do they connect?""
- "Tracing call chains: "What calls `handlePayment()` and what does it call?""


- Navigating an unfamiliar codebase (first time exploring)
- Understanding architecture: "What are the main modules and how do they connect?"
- Tracing call chains: "What calls `handlePayment()` and what does it call?"
- Finding code by semantics: "Find all auth-related functions" (natural language)
- Cross-file impact analysis: "What breaks if I change this function?"
- **When NOT to use**: Single-file tasks (just read it), trivial codebases (<10 files), or when you already have full context


## When NOT to Use

- When a simpler HTTP client would suffice
- For internal tools that do not need cross-platform compatibility
- When the tool is used by a single agent in a single context


## Overview

Codebase Memory Mcp implements a Model Context Protocol server for Model Context Protocol.

## Architecture

- **Server** — MCP-compliant server exposing tools and resources
- **Transport** — stdio or HTTP transport layer
- **Tools** — Callable functions with JSON Schema definitions
- **Resources** — Readable data sources with URI-based access

## Setup

1. Install the MCP server package
2. Configure environment variables and credentials
3. Register the server in MCP client configuration
4. Test tool invocations and resource access

## Configuration

- Server name and version
- Transport type (stdio, SSE, HTTP)
- Tool definitions with input/output schemas
- Resource URI patterns
- Authentication and rate limiting

## Integration

- Compatible with Claude, Cursor, and other MCP clients
- Supports streaming responses for large payloads
- Handles errors with standard MCP error codes

## Anti-Rationalization Table

| Rationalization | Reality |
|---|---|
| "I will just use curl" | MCP handles auth, retries, streaming, and type safety. Use the SDK. |
| "One mega-server is simpler" | Single-responsibility servers are easier to debug and maintain. |
| "MCP is just a wrapper" | MCP enables cross-platform tool sharing. It is infrastructure, not overhead. |

```typescript
// Example: MCP server tool definition
import { McpServer } from "@modelcontextprotocol/sdk";

const server = new McpServer({ name: "my-tools", version: "1.0.0" });

server.tool("search", { query: z.string() }, async ({ query }) => {
  const results = await search(query);
  return { content: [{ type: "text", text: JSON.stringify(results) }] };
});
```


## Process

1. **Design** — Define interface, identify patterns, plan implementation
1. **Implement** — Write code following existing conventions, add tests
1. **Verify** — Run tests, check integration, validate behavior

## Verification

- [ ] All steps executed successfully
- [ ] Results validated against acceptance criteria
- [ ] Error handling tested with edge cases
- [ ] Documentation updated with findings