"How to work with Claude AI code or integrate it" matching MCP servers:

A local-first MCP server that lets AI assistants search and retrieve context from indexed projects, Git state, decisions, and tasks without sending data to the cloud.

MCP server for reading Claude Code session history from the local filesystem, exposing project and session data to MCP-compatible clients.

Automatically captures technical and product decisions from Claude Mac app sessions and writes them into project files, enabling seamless context transfer between strategy and coding sessions.

Search and reference your Claude Code conversation history directly from Claude, with full-text search, conversation viewing, and project browsing.

MCP server that connects Claude Code to Substrate organizational memory, providing tools for searching, reading, querying, and writing memory, with automatic capture of conversation turns.

Provides persistent memory capabilities for Claude Code using Neo4j graph database to track development tasks, code patterns, solutions, and their relationships across sessions and projects, enabling contextual assistance and pattern recognition.

Enables Claude Code to search, browse, and read its own past conversation history across all projects using BM25 keyword search.

An MCP server that enables users to retrieve, filter, and search through Claude Code conversation history stored in local projects. It provides tools for listing projects and sessions, paginating through message history, and searching across conversations with keyword filtering.

MCP server that provides programmatic access to the SOLVE-IT digital forensics knowledge base, enabling LLMs to query, navigate, and search forensic techniques, weaknesses, mitigations, objectives, and citations.

Manages persistent work memories and context across AI tools, enabling structured storage, search, and retrieval of work content, tasks, and knowledge with session-based project organization.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

Enables searching all Claude Code conversations across projects using natural language queries and instantly provides resume commands to continue discussions.

A persistent semantic memory system for Claude Code that provides a structured, versioned document store with semantic search and graph visualization. It acts as a memoization layer to store and retrieve research, design decisions, and codebase insights across different work sessions.

Enables Codex, ChatGPT, and Aside to share project work memory by reading private GitHub-backed checkpoints and searching or re-reading allowed local/SSD documents through read-only MCP tools.

Enables Claude Code sessions to persist identity and cross-session memory through a local SQLite store with semantic search, so past facts, decisions, and lessons can be recalled by meaning. It also detects and classifies user corrections into behavioral patterns that progress from new to internalized, letting reflection cycles evolve skills that work over time.

A local, cross-editor MCP server that provides persistent memory for coding agents, capturing and recalling decisions, conventions, and fixes across sessions without API keys.

Provides semantic code search and code insights via a knowledge graph, enabling AI to understand, navigate, and modify complex projects with deep dependency and architecture analysis.

Gives Claude Code a persistent identity and cross-session memory with semantic search over saved facts, decisions, and journals. It also detects and classifies user corrections into behavioral patterns with lifecycle trends, reflecting periodically to promote or retire working frameworks.

Enables evidence-first, tenant-isolated knowledge management and business-scenario execution for Accio Work foreign trade, with honest unavailable responses when connectors or approvals are missing.

Searches your local Claude Code conversation history to recall and resume past solutions.