"Tools or services for monitoring chat activity" matching MCP servers:

Enables MCP clients to search Subito.it listings, create and manage autonomous SQLite-backed watches, check monitoring status, and deliver Telegram notifications for new listings.

Enables AI assistants to perform immediate Vinted searches and manage persistent, SQLite-backed watches with Telegram notifications through MCP tools.

A server that enables users to chat with each other by repurposing the Model Context Protocol (MCP), designed for AI tool calls, into a human-to-human communication system.

MCP server that visualizes Claude conversations as interactive mindmaps, enabling export and optional upload to Navigate Chat.

Enables comprehensive search and browsing of Berlin city services. Also supports PDF form discovery, analysis, and filling with resilient caching.

Wraps Tool and ToolPackage instances from the llm-chat ecosystem behind the Model Context Protocol, enabling stdio and Streamable HTTP transports for MCP servers.

Neo4j 기반 챗봇 MCP 서버로, 도메인 특화 tool과 Text2Cypher 방식을 조합해 안전하고 정확한 지식그래프 질의응답을 제공합니다.

Enables deterministic calculations for AI API and subscription costs, meeting time zones, recurring schedules, and cron next-run previews, returning normalized inputs, units, assumptions, dated sources, and links to results.

An MCP server that turns the Hugging Face Hub into a conversational model picker with a tool-use eval harness to prove the agent actually uses it correctly.

Enables autonomous prompt improvement for voice AI agents through feedback analysis, test generation, and iterative testing.

基于MCP协议的聊天桥接服务器，允许多个AI Agent接入同一个聊天室进行对话协作。

MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.

Provides MCP (Model Control Protocol) tools for accessing and interacting with Google Chat spaces and messages through OAuth2 authentication.

Enables chatting with an AI waifu character through MCP tools, with user management and dialog history.

Provides deterministic tools for transforming, formatting, and inspecting structured data for AI agents.

Exposes a local DeepSeek Harness instance to external MCP clients over Streamable HTTP, legacy HTTP+SSE, or a stdio bridge. Enables creating sessions, running multi-turn conversations, reading and full-text searching history, cancelling running turns, and listing or selecting models.

Enables agents to run cross-runtime, cross-machine BM25 full-text search over historical conversations from Hermes, Google Antigravity, OpenClaw, Codex, and Claude Code, and to retrieve any past session's full transcript by ID. Queries return only ranked matching snippets, so recall costs no extra tokens or embeddings.

Enables MCP clients and AI agents to invoke deterministic fitness calculators for BMR/TDEE, body fat, one-rep max, macros, activity multipliers, powerlifting attempts, and natural muscular potential. Each tool reports consensus across published formulas, supporting consistent fitness and training analysis.

Enables agents to inspect configured LLM models and send chat requests to them, with support for parameter overrides, file-based prompts, and output to files.

Transforms any API into an intelligent MCP agent in seconds, enabling natural language interaction with APIs through the Model Context Protocol.

Enables agents to collect posts and visible comments from specified X accounts, building unique profiles and analyzing publishing cadence, content style, and high-engagement material, with resumable pagination and CSV/JSONL export backed by PostgreSQL. Supports bounded failover across multiple configured accounts and opt-in hourly monitoring of new posts, edits, and visibility changes, reporting only when asked.

Enables AI agents to perform common utility tasks through a streamable HTTP MCP endpoint, including JSON inspection, regex testing, cron parsing, hashing, base64 encoding/decoding, URL analysis, color conversion, text diffing, CSV parsing, JWT decode/verification, Markdown-to-HTML rendering, and UUID/token generation without API keys.

Enables users to describe a project in an MCP client and work through pre-submission grant phases, including finding fitting programs, checking eligibility and blockers, pulling precedent from past awards, shortlisting, and drafting memos, budgets, and submission checklists. Coverage is full for US grants and partial (discovery and precedent only) for Canada, with no win-odds estimates or post-award reporting.

Facilitates semantic analysis of chat conversations through vector embeddings and knowledge graphs, offering tools for semantic search, concept extraction, and conversation pattern analysis.

An MCP (Model Context Protocol) server implementation using HTTP SSE (Server-Sent Events) connections with built-in utility tools including echo, time, calculator, and weather query functionality.

Provides tools for AI-powered graph analysis, including relationship extraction, adjacency matrix creation, and network centrality calculations. It enables users to perform complex structural analysis and generate interactive D3.js visualizations from structured data.

A modular multi-server architecture providing development automation, JIRA management, and performance reporting for Claude Code. It features specialized tools for PR health analysis, code reviews, and generating comprehensive team and individual quarterly reports.

Enables AI agents to run passive, boundary, and gated active reconnaissance and web-security CLI tools (nmap, sqlmap, commix, httpx, ffuf, nikto, subfinder, and more) against authorized targets through a persistent, API-key-protected HTTP service. Scope gates, authorization windows, evidence capture, and a full audit trail are enforced in code so every tool call stays within the engagement's declared rules.

A remote MCP server for Google Chat, deployed on Cloudflare Workers without authentication, enabling tool execution via MCP protocol.

Enables permission-checked search of past chat history that links older messages with the latest activity, returning supporting context such as timestamps, speakers, and surrounding conversation. Authorization is re-verified against current room membership and approved groups on every search, message fetch, and period read.