Heku
Convert any API to MCP locally, Make agents grow their tools
Heku launched on July 7, 2026 with 5 votes, #4,557 of 24,623 launches that month and more than 75% of that year's launches.
What it does
heku turns MCP servers into a config file. No more custom auth, transport, and tool boilerplate for every API you plug into an agent. Point it at an HTTP API, a database, gRPC, or another MCP server. A tiny manifest exposes config dicovery tools first, so the LLM lazily discovers tools only when needed. Context stays lean, credentials stay isolated, tools hot-reload mid-session. Apache 2.0. The boilerplate harness I kept rewriting by hand.
One dynamic MCP server: JSON configs become API tools on demand. Lazy discovery, hot reload, and heku hub registry. Stop building one server per integration.
One MCP server. Any API. Any LLM. Describe an integration as JSON. heku serves it as a tool your agent can call. GitHub, Stripe, Linear, internal REST: one config each, one server total. Roughly 85% of MCP servers are HTTP proxies around an existing API. Another 10% wrap CLI commands. Only about 5% need their own runtime. heku covers the 95% with JSON configs on one server, so you stop paying the per-integration tax in manifest size and ops time. JSON describes the connector type and each tool call. GraphQL, gRPC, and child-MCP configs can leave tools empty and heku introspects the source. One server loads every config. Credentials live in .env files per service, not in your MCP client…from rapidthoughtlabs.com
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mcp-use2025 · manufact.com · ▲581Hi HN, Luigi here. We maintain mcp-use an open-source TypeScript framework for building MCP servers and MCP Apps: https://github.com/mcp-use/mcp-use MCP is now (finally) stateless so we rewrote mcp-use v2 from scratch for the 2026-07-28 MCP spec revision: https://blog.modelcontextprotocol.io/posts/2026-07-28/ Thanks to the rebuild: - Throughput: +27% → from 8,615 to 10,982 median ops/sec - Cold launch: 2.2x faster → from 151.6 ms to 68.1 ms - Clean install: 82% smaller → from 404.6 MiB to 74.4 MiB Benchmark with methodology here:…
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Source: Product Hunt launch ↗
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