AI & Agents MCP servers

Git for AI memory — version-controlled, searchable context that persists across sessions

Chinese MCP tool marketplace: 15,552 callable tools for weather, stocks, FX, docs and calculations.

Local-first memory for AI coding agents — Markdown + SQLite FTS5, shared across editors via MCP.

Model Context Protocol server for awesome-copilot agents and collections

Pay-per-call x402 gateway: agent tools, OpenAI-compatible LLM, market data, RPC, security audits.

Typed, calibrated and certified decisions over a context, with abstention and evidence.

Saves AI coding-agent context by giving exact code instead of whole files, from a local graph.

Shared, cited knowledge-graph memory for agents — ask, search, remember, keep standing instructions

Open-source AI context firewall for governed model, retrieval, memory, and tool access.

One journal file per project that your AI reads at session start and updates as it works.

SkillWorks: Search published Claude Code skills, plugins and marketplaces.

Exact-action approval for consequential agent actions: request, track, and verify signed receipts.

Build and run AI workflows, apps, toolkits and knowledge bases on FlowDot from any MCP client.

93 agentic MCP tools + 49 specialist agents for every major AI CLI. Self-learning, no API keys.

Typed decisions (choice, score, yes/no) from Laya, Julia-1 and clef-flash on your own GPU

A fact store for AI agents, on Postgres: registered attributes, every write citing its evidence.

Context Assurance for AI agents: context engineering, AI cost optimization, verification.

Open federation for AI agents: identity, mentors, reputation and limited accession.

MCP server that sends work to Cursor Agent over ACP and returns the session id needed to continue.

Heartwood Memory — governed AI agent memory; signed provenance. BUSL-1.1; not OSI open source.

Multi-party decisions for agents: red lines rejected in code, max-min pick, SHA-256 receipt. Stdlib.

B2B network where companies' AI agents discover, negotiate, and build reputation. E2E-encrypted.

Checks whether an agent's actions actually happened, against the destination's own records.

Give your agent a body: observe and control simulated robots (LIBERO, RoboDojo) over MCP.

Private Agent memory and governed shared knowledge.

Remembers why you approved, edited or rejected your agent's drafts; recalls the closest corrections

Compare text LLMs across OpenRouter, Bedrock, Vertex AI and Foundry with automated grading.

Your AI discovers and installs MCP servers across Official Registry, Glama, and Smithery.