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20 Best Social Media MCP Servers: compared and ranked, November 2026Ranked from 1,954 matching servers on stars, growth, downloads and maintenance. Updated .

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    Enables governed interaction with synthetic people data through MCP tools, providing per-caller scoped access, semantic-layer metrics, and read-only SQL with authorization checks.
    MIT
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    Enables agents to reconcile piping material take-offs against Plant 3D SCSA exports by previewing diffs and applying quantity corrections, insertions, and gated removals with dry-run and explicit confirmation flags.
    2
    MIT
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    AstroFabric is agentic AI for business intelligence. Autonomous AI agents identify the companies, find and verify the people, attach the buying signals, score the fit and deliver finished lists and audiences into the CRM, outreach tools and ad accounts your team already runs. Every workflow carries evidence, approval gates and credit ceilings.
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    MIT
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    Connects Ignition SCADA and Studio 5000 PLC to correlate tags end-to-end, trace signal chains, and find commissioning gaps.
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    MIT
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    Enables auditing spending history to find transactions with missing or questionable categories and getting ranked, history-based category candidates for confirmation. Also supports writing approved category fixes back and importing missing transactions from bank statements, with preview-by-default writes.
    7
    473 npm
    MIT
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    Enables AI assistants to search multiple tech job boards at once, summarize what the market is asking for, and rank postings by how well they match a user's own skills.
    5
    MIT
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    Enables MCP clients to search and analyze monthly Hacker News "Who is hiring?" threads by parsing free-form job comments into structured fields such as company, role, location, work mode, salary, visa, and technologies, with tools for listing threads, searching jobs, retrieving individual posts, and viewing hiring trends.
    4
    60 npm
    MIT
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    A server providing PDF form manipulation tools via MCP's API, allowing users to find PDFs across directories, extract form field information, and visualize form fields in documents.
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    MIT
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    Enables MCP clients to analyze contact exports, identify duplicate people with evidence-based matching, merge them into a cleaned CSV, and report every conflicting value.
    4
    MIT
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    A Model Context Protocol server that provides access to Fantasy Premier League data, allowing users to compare players, find team information, view gameweek data, and get FPL-related advice through Claude for Desktop and other MCP-compatible clients.
    23
    94 PyPI
    80
    MIT
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    Provides Material Requirements Planning (MRP) tools for calculating delivery schedules, determining order needs, and performing MRP period calculations based on inventory levels, forecasts, and order constraints.
    1
    ISC
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    A Model Context Protocol server implementation that enables AI assistants to interact with Apollo.io data, performing operations like people/organization enrichment, searching, and retrieving job postings through natural language commands.
    7
    75 npm
    40
    MIT
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    An MCP server that integrates Verodat's data management capabilities with AI systems like Claude Desktop, enabling users to manage accounts, workspaces, and datasets, as well as perform AI-powered queries on their data.
    9 npm
    4
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    Remote MCP server for querying financial index data, running backtests, and building/deploying systematic investment strategies from any MCP-capable client.
    MIT
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    This server allows users to query GoContact business data using natural language instead of relying on manual reports. It retrieves, cleans, and correlates data across leads, calls, and sales to enable data-driven decision-making.
    MIT
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    Enables China A-share quantitative market data retrieval, including market overview, industry rotation, sector hotspots, limit-up analysis, and risk alerts.
    2
    MIT
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    Enables agents to find duplicate customers and contacts in CSV files by comparing emails, phone numbers, names, and companies, returning confidence levels and the evidence behind each match. It also inspects CSV files to reveal detected columns and row counts without exposing row contents.
    355 npm
    MIT