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PostMCP AIWrite, schedule, publish, and measure social posts across seven networks from one workspace.Agent Infrastructure
ZernioConnect apps and agents to social, messaging, and ad APIsAgent Infrastructure
BusabaseAn open workspace for the records AI agents create7 alternatives sharing at least one category. Listed by publication date, newest first.
PostMCP AI is a social publishing workspace for creating and managing posts across LinkedIn, X, Instagram, Facebook, Threads, Bluesky, and YouTube. Users can draft with AI, plan content with a team, schedule posts, and review performance in a shared calendar and analytics view. The site also provides an open-source MCP server so compatible AI clients can draft, schedule, and publish through connected social accounts.
Categories Social Publishing, Agent Infrastructure
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Zernio provides one API for products and agents that need to publish content, manage conversations, retrieve analytics, or work with advertising across multiple services. Its platform covers social networks, blogs, messaging, voice, and ads, with an MCP server for agent clients. The usage-based plan includes two connected accounts at no charge, then bills for additional accounts and metered services.
Categories Agent Infrastructure
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Busabase gives teams a database and workspace for information produced by AI agents. Teams can keep records, documents, skills, and apps together, connect coding agents through plugins, and review proposed changes before accepting them. The open-source edition can be run locally, while Busabase Cloud adds hosted collaboration for teams.
Categories Agent Infrastructure
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Fuse AI provides a unified go-to-market toolkit for developers and AI agents. Its launch presents one SDK and MCP interface for tasks such as web automation, data enrichment, outreach, and workflow execution, helping teams build sales workflows without wiring together many separate services.
Use cases Build targeted prospect lists, Enrich sales prospect data, Automate sales operations
1,725 active referring domains
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AUDR is an open specification for recording who initiated an AI agent run and the usage costs accumulated as that run passes through different tools. It defines a shared record format and rules for joining application, router, and tool data, so teams can trace run-level usage across their stack.
Use cases Analyze cost by agent run, Send usage to a billing destination, Store records for internal analysis
55 active referring domains
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Cloudflare Web Search API lets AI agents and applications search the internet and ground responses in live information. It can help an application find current sources rather than guess URLs or rely only on a model’s training cutoff.
Use cases Ground an AI agent with current web results, Add web search to a backend service, Use web search inside a Worker
567,803 active referring domains
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Opengeni provides infrastructure for shipping AI agents to production. It supplies sessions that recover from failures, isolated sandboxes, more than 100 integrations, human approval steps, and visibility into each step and its associated spend. Teams can focus on their agents while Opengeni handles the supporting runtime, with self-hosting available for free or a managed cloud option.
Use cases Embed an agent in a product, Build resilient tool-using agents, Deploy agent infrastructure under your control
72 active referring domains
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