"How to install MCP (Mod Coder Pack)" matching MCP servers:

Deploys a sovereign personal AI harness on your Cloudflare account, providing identity, memory with provenance, and a chat interface, plus MCP tools for external AI assistants to access your persistent memory and conduct contract.

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Production-ready MCP server with session memory, Brave Search, Vertex AI Discovery Engine, Google Gemini analysis, and sandboxed code-mode transforms.

Provides a runtime interface that lets AI coding agents query governed Git-backed artifacts such as skills, context, and policies while reading and writing dynamic project memory—feature and decision records, observations, known issues—persisted in PostgreSQL. Supports project registration, scoped context and memory search, skill resolution, and role-gated memory promotion through API keys.

A personal AI memory system that creates a cognitive hub connecting to Notion, enabling semantic search and relationship navigation of your knowledge through a graph database for AI assistants.

Local-first agent-memory MCP server with a why() tool: recall a fact together with its connected subgraph (multi-hop), so linked memories surface even when they share no words with the query. remember/recall/relate/forget/why over one fused vector + graph + columnar engine a single offline Rust binary.

Provides intelligent context management for AI development sessions, allowing users to track token usage, manage conversation context, and seamlessly restore context when reaching token limits.

Provides MCP tools for workspace initialization, health checks, context recall, and durable memory capture, enabling project-specific memory and shared company knowledge with citations.

MCP server that connects AI agents to Google NotebookLM, enabling natural language interaction with notebooks, including Q&A, source ingestion, and audio overview generation.

Enables local-first knowledge management for Codex, providing tools for guided discussions, contextual recall, review, and daily topics.

Builds a searchable memory bank from persona-specific PDF content and exposes it as an MCP tool for querying.

ContextLattice is an HTTP-first, MCP-compatible memory/context/task orchestrator that persists writes and returns fused recall from specialized stores with local-first defaults. Primary URL: https://contextlattice.io/ Install: https://contextlattice.io/installation.html Troubleshooting: https://contextlattice.io/troubleshooting.html

Self-improving, verifiable memory for AI coding agents. Learns how you work, stops repeating mistakes, models each project, recalls the right lesson at the right moment. Every memory is signed and tamper-evident. Local-first.

Semantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.

A self-hostable, open-source, semantically-searchable Agent Skills registry delivered over MCP, with a three-tier progressive disclosure architecture.

An MCP server that provides on-demand skill discovery for AI coding agents by querying GitHub repositories, using BM25 search to return relevant SKILL.md content.

Enables local AI models to structure and reason through debates using argument maps, with claims and supporting/attacking arguments automatically validated and organized.

An MCP server that enables LLMs to pull-based search through Clawket's RAG repository for exploratory and conditional queries. It provides read-only access to search artifacts, tasks, and decisions via HTTP API.

AutoMem MCP provides persistent memory for AI assistants, enabling them to recall information across conversations and platforms with graph-vector retrieval.