codebase-memory-mcp

name	codebase-memory-mcp
description	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.
domain	mcp
author	oyi77
license	Apache-2.0
subdomain	mcp
tags	["codebase","mcp","mcp-server","memory","model-context-protocol","tool-integration"]
version	1.0.0

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.

// 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
2. Implement — Write code following existing conventions, add tests
3. 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