π Friends!
β°Just 12 hours left to vote for your favorite developer tool at DevHunt.
18 amazing devtools are competing for the "Tool of The Week" title π₯
Finalists :
β MCP Bridge by @appfactorio
β @TryPricePush
β Auriko.ai
β @TinyHumansAi
β Image DPI Converter by @miao8845
Your vote is important, so don't miss out!
β devhunt.org
π MCP Bridge is live on @ProductHunt today.
Every team building production agents hits the same wall: a custom MCP server per API.
We built MCP Bridge to remove that. REST, GraphQL, SOAP, gRPC β agent-ready tools. Self-hosted. Rust.
Support us here β¬οΈ producthunt.com/products/mcpβ¦
π MCP Bridge is live on @ProductHunt today.
Every team building production agents hits the same wall: a custom MCP server per API.
We built MCP Bridge to remove that. REST, GraphQL, SOAP, gRPC β agent-ready tools. Self-hosted. Rust.
Support us here β¬οΈ producthunt.com/products/mcpβ¦
MCP Bridge by @appfactorio
> Docker pull MCP Bridge
> Point it to any REST/GraphQL API
> Your MCP tools are ready!
With auth, rate limiting, and response processing.
Available - mcp-bridge.ai/?ref=microlaunβ¦
Your LLM agents can now consume any API.
Three production realities every agent stack hits:
β LLMs retry the same call 8 times in 2 seconds when a response isn't what they expected
β No enterprise API portfolio shares a single auth scheme
β Retry logic is correct until it isn't. The cases that bite are the ones that look like success.
How MCP Bridge handles all 3ππ½
Observability: @opentelemetry. Export to @datadoghq, @grafana, @honeycombio, your own collector. Per-call traces include token cost, so "which tool is costing me the most in inference" is answerable without instrumenting the agent.
Production-ready isn't a feature you add at the end. It's a shape you carry through every decision.
appfactor.io/blog/mcp-bridgeβ¦
PH launch tomorrow π
getProcInfo3 β get_customer_account_details
Same tool. The new name lives only in the discovery layer, the agent still calls the original API. The rename happened without anyone touching the source code. Here's how ππ½
Realization: the function name was never the signal.
The response shape is.
{
"custId": "C-44218",
"billingAddress": { ... },
"accountStatus": "active",
"primaryContact": { ... }, "assignedManager": "..."
}
AI Enrichment in MCP Bridge:
β Reads the response type (WSDL for SOAP, OpenAPI for REST, captured sample for opaque APIs)
β LLM generates a name description from the response fields
β New version lives in the discovery layer only
β Original schema preserved, agent still calls the real API
appfactor.io/blog/how-we-madβ¦