7 tagged federation, measured the same way as everything else here.
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MCP server "cortex-gateway" as configured in wellknownmcp/cortex-gateway. Runs in Docker (ghcr.io/wellknownmcp/cortex-gateway:v0.2.0). Needs 4 environment variables to run.
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MCP server "synapse" as configured in anulum/synapse-channel. Launched with synapse mcp --name YOUR_PROJECT/YOUR_CLIENT. Needs 2 environment variables to run.
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Local-first coordination bus for AI agents across one repository or a whole ecosystem: work claims, presence, chat, a shared plan, and resource sharing over a WebSocket hub. Runs locally from the synapse-channel Python package.
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GraphQL gateway for LLMs. Handles huge GitHub GraphQL & @neo4j/graphql schemas without crashing. Runs locally from the @letoribo/mcp-graphql-enhanced npm package. Needs 7 environment variables to run.
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MCP server "fold", hosted remotely at 127.0.0.1, as configured in fold-run/fold.
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Search and invoke real AI capabilities on modelmarket.dev. Free trial, then USDC on Base. Remote server at modelmarket.dev.
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Federated, privacy-first shared memory for AI coding assistants. Private by default; published by consent into git-backed spaces; distributed to every assistant via MCP and AGENTS.md. Runs locally from the memfed-cli npm package.