Explore server capabilities, recorded tools, available client configurations and practical setup considerations. Browse servers by category, or jump to remote servers and official vendor servers.
Servers can appear in several categories when their tools support several tasks. Category counts include these overlaps; the directory total counts each server once.
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Publish and share access-controlled Markdown documents from any MCP-enabled AI tool.
mkinf SDK to interact with mkinf hub MCP servers
Real licensed Kenyan doctors, pharmacy and groceries. AI discovery only, payment held in escrow.
💳 mkopo-mcp — Alternative Credit Scoring MCP Server
MKP is a Model Context Protocol (MCP) server for Kubernetes that allows LLM-powered applications to interact with Kubernetes clusters. It provides
An MCP (Model Context Protocol) server for generating HTML slides from Markdown content using the mkslides library.
Bring real-time threat intelligence into your AI workflow. The Mlab MCP server connects Claude, Cursor, or any MCP-compatible client to mlab.sh — an IOC & file intelligence platform built for SOC…
An MCP (Model Context Protocol) server that gives AI agents access to the Mlatho service marketplace — Africa's platform for finding and booking vetted service professionals.
Teams, schedules, and standings from the official MLB Stats API. No key required.
Model Context Protocol (MCP) server for connecting Claude with the SportRadar MLB API. It provides tools for accessing MLB game data, standings
MLB Stats API MCP — official MLB statistics (keyless).
MCP server for deploying and managing applications on ml.ink.
Model Context Protocol (MCP) Server for MLflow Prompt Registry
MLflow MCP — experiments, runs, registered models, versions, traces, assessments (MLflow 3)
mcp server for mlflow
A Model Context Protocol (MCP) server that enables LLMs to interact with MLflow tracking servers. Query experiments, analyze runs, compare metrics, manage the model registry, and promote models to…
A Model Context Protocol (MCP) server that exposes MLflow experiment tracking and model registry operations as tools for AI assistants.
mcp server for mlflow
本MCPサーバーを利用することで、大規模言語モデル(LLM)と直接連携し、対話形式で直感的にデータを検索・取得することが可能になります。APIに関する専門的な知識がなくても、誰でも簡単に国土交通データプラットフォームから曖昧な指示や複雑な条件設定でデータを検索・取得が可能な、新しいデータ活用のかたちを提供します。
MLIT Japan real-estate transaction prices (XIT001) via Apify actor for AI agents and investors.
Mlola UI components, tokens and design rules for coding agents, with a markup checker
Deterministic MLP tax engine with IRS citations. 6 tools: basis, §751, estate, projections.
MCP server for mlua-swarm: engine that compiles flow.ir Blueprints and dispatches agent steps.
Local MCP server for MLX Whisper transcription
MM7 public B2B MCP: 1C ITS/RRP, requisites, EDI, cloud trial (GRM/Fresh) for AI agents.
AI-powered video-to-audio and text-to-audio generation using MMAudio's advanced AI technology. This Desktop Extension implements the Model Context Protocol (MCP) to provide seamless integration with…
mmHg to kilopascals, number discarded
Build a MapLibre style from four anchor colours. Self-hosted maps, no API key.
This is a HexagonML MCP server that provides a Model context protocol interface for HexagonML ModelManager tools.
Ultra-fast persistent memory workspace with tenant isolation and cross-model continuity.
MCP server for MNE-Python documentation, source code, GitHub issues, and forum
Local-first, formally verified memory for AI agents: consult/learn/related/list over MCP.
Personal knowledge graph as an AI memory layer over MCP - read, save, and link your memories.
Self-hostable shared brain for you and your AI agents — docs, flows, meetings, decisions, rationale
MNE-Python neurophysiology analysis (EEG, MEG, sEEG, ECoG, fNIRS) via the Model Context Protocol
Vault-native memory for Claude Code. Markdown is ground truth.
Vault-native, accountable memory for Claude Code and MCP clients. Markdown is ground truth.
Memory layer for AI coding assistants. Indexes git history + code, exposes via MCP.
Local MCP server for architectural decisions, traceability, and non-authoritative proposals.
Cross-session memory for AI coding agents via six tools; local-first SQLite store.
A Model Context Protocol (MCP) server providing **human-like memory dynamics** for AI assistants. Memories naturally fade over time unless reinforced
An open-source engine that answers natural-language questions over your database, built so that every stage between the question and the SQL is a setting you can read, change, and measure.
Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.
Zero-dependency agent memory: recall, consolidation, and a first-class correction + erasure channel.
Self-correcting agent memory + MCP server: recall, supersede/revert/review corrections, erasure.
The big AI-memory systems run on millions in venture capital. **Mnemo Cortex was built by one 73-year-old maker** — on Social Security, a $20-a-month
Persistent agent memory as plain Markdown in your repo - readable, diffable, with provenance.
Event-sourced knowledge graph memory for AI coding agents with semantic search
Hosted MCP memory and agent control plane for durable conversations, jobs, and operations.
Renamed (2026-09-13): repo is now mnemo — CLI-first (mnemo command). PyPI package stays mnemo-mcp; MCP server remains a secondary surface.
Trust infrastructure for AI agents: read a verifiable Trust Rating, claim an identity, earn a badge.
Trust infrastructure for AI agents: read a verifiable Trust Rating, claim an identity, earn a badge.
Persistent layered memory MCP server for AI agents — SQLite + FTS5 backend
Production payment infrastructure for AI agents — real Stripe/Paystack/Lightning rails, autonomous shopping with escrow, Agent Credit Score
Give your AI agents persistent memory. mnemory is a self-hosted MCP server that adds personalization and long-term memory to any AI assistant — Claude Code, ChatGPT, Open WebUI, Cursor, or any…
Give your AI agents persistent memory. mnemory is a self-hosted [MCP](https://modelcontextprotocol.io/) server that adds personalization and
Local-first MCP memory server for AI agents, with source citations and OKF/Markdown knowledge bases.
Install once. From then on, your agent builds itself a structured knowledge base of your project — while you code. No prompts to remember, no remember() calls, no API to learn.
Predict context rot, sign every agent write, tier reads. Markdown-native, 100% local.
Bi-temporal memory-as-a-service and paid agent labor. Pay-per-call USDC via x402; signed receipts.