"Buffer.com social media scheduling MCP server" matching MCP servers:

Enables comprehensive vulnerability scanning using Nuclei scanner with support for single targets, network ranges, and cluster-wide security assessments with customizable severity levels and automated scheduling.

Enables MCP-capable agents to access AgentBook's pay-per-call tools for agent social feeds, funded bounties, DeFi/gas intelligence, and security reconnaissance without API keys or signup.

Connects AI models and autonomous agents to the x64dbg debugger through the Model Context Protocol, exposing 234 tools for live execution control, register and memory inspection, disassembly, breakpoints, thread scheduling, console I/O, and PE analysis. It also parses saved .trace32/.trace64 trace files offline for instruction search, register lookups, and timeline navigation without x64dbg running.

Enables AI agents to call 93 pay-per-call machine-to-machine services spanning web scraping, crypto sentiment, market data, on-chain analytics, social and threat intelligence, vulnerability scanning, and micro-SaaS utilities. Payments are settled in USDC on Arbitrum via the x402 protocol using a wallet header, so no API keys, signups, or billing setup are required.

Enables AI agents and LLMs to build Joern Code Property Graphs from repositories, local paths, or code snippets and query them over MCP, supporting CPGQL queries, data-flow and taint tracing, program slicing, and vulnerability hunting across many languages. It scales to large analysis batches with per-CPG worker pools, memory-aware scheduling, and a Postgres/Redis backend.

Provides social media content extraction and analysis tools via MCP (Reddit and LinkedIn), while demonstrating security risks and obfuscation techniques for educational purposes.

A containerized MCP server that enables AI agents and LLMs to build and query Joern Code Property Graphs from Git repositories, local paths, or pasted snippets, exposing CPGQL queries, data-flow and taint tracing, program slicing, and vulnerability hunting across many languages. It scales to large analysis batches with worker pools, memory-aware scheduling, and a Postgres/Redis backend.

Enables AI agents and LLMs to build Joern Code Property Graphs from repositories, paths, or snippets and query them over MCP for CPGQL queries, data-flow and taint tracing, program slicing, and vulnerability hunting across many languages. It scales to large analysis batches with per-CPG worker pools, memory-aware scheduling, and a Postgres/Redis backend.

Enables AI agents and LLMs to build and query Joern Code Property Graphs for a Git repository, local path, or pasted snippet, supporting CPGQL queries, data-flow and taint tracing, program slicing, and vulnerability hunting across many languages. It scales to large analysis batches with per-CPG worker pools, memory-aware scheduling, and a Postgres/Redis backend.