"SearXNG, a privacy-respecting metasearch engine" matching MCP servers:

Enables AI assistants to run the real Obsidian Tasks query language against a Markdown vault via MCP, supporting filters, relative dates, dependencies, grouping, sorting, and query explanations without requiring Obsidian to be running.

Provides programmatic access to all Scoring Engine API functionality for managing Red/White/Blue team cybersecurity competitions, including scoreboard, overview, team management, service management, injects, notifications, and admin tools.

Connects Claude AI to Google Sheets, Gmail, and Calendar for comprehensive revenue tracking and business management. Enables lead pipeline management, email handling, calendar scheduling, task tracking, and file operations through natural language.

Project management and session memory for AI agents that provides 13 tools for tracking projects, tasks, and context during AI coding sessions.

MCP server for Redmine that enables interaction with issues, wiki pages, and time entries through natural language.

Connects Claude to Jobber to manage clients, jobs, invoices, quotes, and scheduling through natural language.

Privacy-first local memory vault every AI shares over MCP. Markdown + SQLite on your machine; Claude, ChatGPT, Cursor, and any MCP client read and write it live. No cloud, no account, no telemetry

Enables AI tools to collaboratively write novels by managing chapters, characters, and story state through commands like validate, context, draft, review, and approve.

Enables AI assistants to manage Bitrix24 CRM entities, tasks, project kanban boards, and Scrum sprints through an incoming webhook, requiring explicit user confirmation for all write operations.

Enables Boneyard to call authenticated, stateless Streamable HTTP tools for searching tickets and adding ticket comments, with caller context, attribution, and bounded results.

Enables task management through MCP tools, resources, and prompts, backed by a PostgreSQL database.

A shared, concurrency-safe ledger for LLM code audits. It enables multiple agents to collaboratively report, verify, and resolve bugs with deduplication and hallucination resistance.

Enables AI assistants to query freispace scheduling software data including staff management, project analytics, resource availability, and holiday planning. Provides comprehensive insights for media teams while respecting user permissions and data safety.

A privacy-first MCP server for locally managing job, fellowship, and graduate-school applications. It offers tools for tracking application status, analyzing role fit, generating LaTeX CV/cover letters, interview prep, and discovering public jobs from ATS APIs.

An unofficial bridge that enables AI models to interact with the LunaTask API for managing tasks, notes, journal entries, and contacts. It supports creating and updating productivity data while respecting LunaTask's end-to-end encryption for sensitive fields.

Persistent brain, memory, loop controller, and reminder engine for AI coding agents.

Enables AI agents to manage Dida365 tasks via natural language with a rule engine for automatic project routing, priority assignment, and label management.

TruePPM MCP servers ask real questions of your self-hosted TruePPM instance: the critical path, a Monte Carlo slip forecast, sprint status, the risk register, My Work. Answers are computed server-side by the same CPM/Monte Carlo engine the web UI uses, never guessed by a model, and nothing leaves your box.

Provides tools for logging, confirming, and triaging issues with the semfora-engine, enabling AI agents to report bugs discovered during workflows.

Enables AI agents and IDE copilots to reach Jira, Neo4j, Teradata, and a business rule engine through one governed, multi-tenant endpoint that applies authentication, role-based tool authorization, guardrail checks, layered rate limiting, audit logging, and envelope encryption. It also exposes a live Neo4j graph schema resource and a Cypher-composition guidance prompt so clients can discover and query connected data safely.

Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.

The Forge Engine runtime: a thin, MIT-licensed proxy that connects any MCP client to Forge — the design spec AI coding agents read before building and report back to. Serves the full 54-tool surface; discovery works signed out, tool calls authenticate.

Enables Claude Desktop to read and manage tasks from the AI Automated Task Manager via MCP, respecting the user's permissions.

A platform that integrates and manages APIs from ByteDance's Ocean Engine (巨量引擎) advertising platform, providing unified access interfaces for e-commerce traffic acquisition scenarios.

Project memory and scoping engine for AI coding agents. It gives any agent persistent project state, bounded work packages, and cross-session continuity.

AI-powered project governance engine for collaborative development with MCP server and CLI, file as source of truth, zero model dependency.

Workspace engine for agents: documents, decisions, tasks and messages stored as typed, linked records in a local SQLite file you own, with full change history and SQL queries over MCP.

A read-only, locally run stdio server that gives MCP clients 21 scoped tools to browse leads, tasks, recorded activities, files, scores, dashboards and a minimal people directory through the SalesDrone HTTP API, with bounded pagination and optional privacy-safe OpenTelemetry export. Personal access tokens limit access to the read scopes a user explicitly grants, and customer content is treated as untrusted data with no write, arbitrary-URL or cloud-credential capability.

Enables LLM assistants to query Monday.com boards, groups, items, and columns via a cached SQLite-backed sync engine, minimizing API calls.

Comprehensive quest orchestration system with KĀDI broker integration, multi-channel approval workflow, and Git-backed data storage.