"An MCP server for CEO outreach and engagement" matching MCP servers:

Provides tools for analyzing Instagram engagement metrics, extracting demographic insights, and identifying potential leads from Instagram posts and accounts.

MCP server that provides tools for cold email outreach, including checking contact history, drafting personalized emails, and retrieving performance summaries from past outreach data.

A local MCP server that enables Douyin keyword search and comment campaigns through the user's own logged-in Chrome, with human approval, cross-campaign deduplication, and resume after manual verification.

Provides rules, checklists, and audits for cold outreach deliverability across email, LinkedIn, Instagram, and X, helping ensure messages land in inboxes rather than spam folders.

Automates job outreach by finding companies, discovering contacts, generating personalized emails with AI, and tracking campaigns.

Provides a durable MCP media pipeline for image, video, audio, and storyboard generation, with FFmpeg composition, provider routing, and resumable long-running jobs.

AI-powered content generation for LinkedIn outreach, helping sales teams and recruiters craft personalized connection requests, InMails, posts, comments, and multi-touch outreach sequences. It's a content assistant that generates text for human review and manual sending, fully compliant with LinkedIn's Terms of Service.

An MCP server that enables agent-driven LinkedIn outreach across multiple accounts, with a safety gate for human approval and LLM-powered personalization.

Enables AI assistants to manage an outreach CRM via SQLite, including importing contacts from Apollo/Crunchbase, fuzzy matching, seniority ranking, drafting and scoring emails, and tracking sends/replies through pluggable email providers.

Enables AI agents to draft evidence-grounded cold-email openers, A/B variants, personalized LinkedIn DMs, and SEO content-gap plans for sales and marketing outreach.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

MCP server for chess.ceo — 11.7M+ games, ~1.5M FIDE player profiles, per-player opening preparation, position statistics, head-to-head, live tournament broadcasts. No API key.

MCP server that gives AI agents persistent, tenant-scoped memory with semantic search and consolidation, using CockroachDB vector indexes and Amazon Bedrock embeddings.

Enables querying simulated healthcare professional engagement data from Supabase, including HCP profiles, interactions, consent status, prescribing trends, and segment analytics through natural language.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

An MCP server that connects AI assistants to YNAB budgets, enabling natural language queries about finances backed by full API coverage and built-in YNAB methodology knowledge.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

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Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.