MCP

Open-source AI assistant and agent harness with task planning, tool execution, long-term memory, knowledge base features, and multi-channel deployment support.

A prototype company-brain product that turns 45,047 Enron emails into a cited wiki with time-aware facts, entity pages, and browsing by organization or internal system.

Self-hosted MCP server that lets AI agents run real Google searches through a browser and return typed JSON with resolved URLs, AI Overviews, and People Also Ask results.

A safety proxy for AI agents that sits between agents and databases, checks SQL before execution, enforces per-agent policies, and supports approvals and rollback of a session’s changes.

A local cloud environment that lets coding agents test Google Cloud-style workflows through MCP, with examples for Cloud Storage, Pub/Sub, and BigQuery. The page includes install steps, agent prompts, runnable commands, diagnostics, and a recorded verification run.

Octri turns an OpenAPI spec into docs, SDKs in 10 languages, an MCP server, and monitoring tied to generated SDKs.

Black-box security and contract testing for MCP servers, with baseline diffing, CI failure policies, and report output for JSON, JUnit, and SARIF.

Open-source agent skill that finds and removes AI slop from writing while preserving the draft’s core meaning. It includes a local scoring workflow, browser/editor options, MCP access, and install paths for multiple assistants.

Enterprise Postgres platform for AI apps, with managed, BYO cloud, and on-prem deployment options. It adds built-in MCP access for agents, pgvector and hybrid search for RAG, branching for isolated experiments, and a path from prototype to production.

A CLI and plugin bundle for AI agents to schedule social media posts through Postiz. It includes integrations for Claude Code, Cursor, Gemini CLI, Qwen Code, and DeepSeek Harness, plus support for the hosted Postiz MCP server.

Memex is an open-source tool for searching, browsing, and resuming transcripts from coding agents and IDE assistants like Claude Code, Codex, Cursor, and GitHub Copilot. It supports keyword and semantic search, token tracking, session reading, and multiple interfaces including CLI, TUI, web UI, and MCP.

Open-source agentic coding workspace for persistent agents, parallel sessions, and inspectable context across projects.

Local MCP server manager for macOS and Windows that centralizes server configuration across Claude Desktop, Claude Code, Cursor, VS Code, and Codex, with health checks, profiles, backups, and a private local workflow.

A zero-dependency fetch replacement that lets AI agents automatically handle HTTP 402 payments, with buyer and seller flows, spending caps, and MCP support.

A read-only CLI that inventories AI agents, MCP servers, plugins, and AI extensions on a machine and explains what each one can access.

Rune is a persistent codebase intelligence layer for AI coding agents. It maps a project, serves evidence-backed answers through MCP, and includes project memory plus security-focused static analysis.

Open-source loop engine that schedules AI agents on repeat runs, with REST and MCP access, isolated workbenches, and local self-hosted execution.

An open-source CLI that turns ebooks into token-counted Markdown chapters, serves them over MCP, and verifies quotes against the source text offline.

Adchestra is a hosted MCP service that lets AI agents manage Google Ads and related Google marketing tools from chat. It supports Google Ads, Analytics 4, Tag Manager, and some Search Console access, with four-step setup and approved write actions.

AI-powered project collaboration workspace for teams to manage work items, decisions, blockers, and context in one shared place. It includes AI-suggested updates, provider support, MCP connections for agents, an API/CLI, and self-hosting via Docker Compose and PostgreSQL.

Local code-context engine for AI coding agents. It indexes TypeScript, Python, or Swift repositories into a symbol-level graph in SQLite and exposes MCP tools for symbol lookup, impact analysis, and graph queries.

Itsuki is an open-source memory layer for AI tools and agents. It offers a single key and structured, source-linked memories across assistants, coding agents, workflows, SDKs, REST, and MCP integrations.

Long-term memory for LLM apps with dated facts, supersession, and receipts. It exposes Python, CLI, local GUI, HTTP, and MCP interfaces, and supports local or hosted models.

Persistent memory for AI agents that retires superseded facts instead of letting old and new information conflict. The repo shows quick start setup, MCP connections for several agent hosts, and benchmark claims for retrieval accuracy.