"pre-commit" matching MCP servers:

A Compact Knowledge Graph MCP server providing pre-structured domain knowledge as a routing layer for agent stacks, enabling efficient structural queries (e.g., prerequisites, dependency chains) without hallucinations.

Local-first memory layer for AI coding agents — captures issues, attempts, fixes, and decisions, and warns at git commit before you repeat a mistake.

Semantic search over 4.6 million text chunks from 20,000+ classical philosophy and humanities works (pre-1928). Covers Aristotle, Plato, Kant, Hegel, Nietzsche and hundreds more. Multilingual: English, German, Latin, French, Italian, Greek, Russian.

Provides AI-driven project memory management through structured prompts that help Claude parse tasks from specs, review code changes, sync with commit history, and maintain project documentation without directly accessing files.

A read-only MCP server providing tools to search and retrieve insurance product information, coverage details, and compare policies from a pre-built knowledge graph of Belgian insurance products, with verbatim citations from source PDFs.

Exposes Nima Karami's curated, public-safe career history. Allows AI to select and tailor pre-approved material for queries.

Team-aware memory for AI coding assistants that tracks intent, records decisions, and surfaces real-time team conflicts before commit.

An MCP server that provides graph-aware tools for interacting with Little Big Brain knowledge graphs, enabling search, query, commit, and configuration operations via natural language.

Team-aware memory for AI coding assistants that tracks intent, records decisions, and detects real-time conflicts before commit.

Enables AI agents with persistent semantic memory, including semantic recall, knowledge graphs, and instant domain expertise via pre-built Intelligence Packs.

A distributed durable notebook MCP server for high-scale agents, providing git-like pull and commit tools with automatic conflict resolution.

Cortex is an MCP server that helps build and maintain a project Memory Bank for AI assistants, enabling reproducible, high-quality AI-driven development with a plan-do-commit loop.

Enables users to search and access DOOR support documentation and knowledge base articles through natural language queries. Provides fast search capabilities across support.door.com content including articles and PDFs with pre-built search indexing.

A commit-aware code context manager for LLMs that indexes Git repositories into a multi-tier knowledge hierarchy (repo overviews, file summaries, symbol details) with SQLite vector search, serving context via the Model Context Protocol.

Enables governed multi-agent orchestration with pre-dispatch cost estimation, dependency-aware dispatch, and auditable recall, all protected by a fail-closed policy gate.

An MCP server offering hybrid memory recall and continuity tools for AI agents. It also provides a governance gateway that pre-approves risky shell/file/git actions before execution.

Persistent memory database for LLM agents with hybrid semantic/keyword search, project scoping, and git commit clustering.

Persistent project memory + architectural decisions + pre-execution safety hooks for Claude Code. Local-only storage, multi-repo workspace, automatic knowledge extraction via background auditor.

Enables MCP-compatible agents to arbitrate typed state-action schemas, dispatch routine actions deterministically, and apply pre-escalation filters that reduce unnecessary frontier LLM calls. It supports low-latency, schema-enforced routing with safety guardrails and local-first memory retention.

Enables agents to query a CompanyGraph instance read-only, retrieving types, schemas, entities, skill evidence, and search results with verbatim answers from a specific model commit.