👋 Friends!
⏰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 🥇
Finalists :
→ MCP Bridge by @appfactorio
→ @TryPricePush
→ https://t.co/uLyN5tlnPt
→ @TinyHumansAi
→ Image DPI Converter by @miao8845
Your vote is important, so don't miss out!
→ https://t.co/54NIS27Tal
🎉🏆 Winners of the last week's DevHunt!🎉
Our top 3 champs are:
1⃣🥇MCP Bridge by @appfactorio – best Dev Tool of the week!!!
▶️ https://t.co/DccVb2yP8f
2⃣ @TryPricePush 🥈
▶️ https://t.co/WIQ9Wskq8F
3⃣ https://t.co/uLyN5tlnPt 🥉
▶️ https://t.co/z1fmi9YtaT
Keep up the great work, everyone! 👍
🚀 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 → agent-ready tools. Self-hosted. Rust.
Support us here ⬆️ https://t.co/9RLf4cg21h
Investment News:
AppFactor secures £2.9 million Seed Investment led by Tensor Ventures!
Congratulations to Keith Neilson, Gabriel Ciuloaica and the entire team on the investment.
Full press release here: https://t.co/osdYBdUQI3
#UKTechInvestmentNews#Investment#Deallite
🚀 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 → agent-ready tools. Self-hosted. Rust.
Support us here ⬆️ https://t.co/9RLf4cg21h
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 - https://t.co/Ny5CTuvPhQ
Your LLM agents can now consume any API.
Three production realities every agent stack hits:
– LLMs retry the same call 8 times in 2 seconds when a response isn't what they expected
– No enterprise API portfolio shares a single auth scheme
– Retry logic is correct until it isn't. The cases that bite are the ones that look like success.
How MCP Bridge handles all 3👇🏽
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.
AI Enrichment in MCP Bridge:
– Reads the response type (WSDL for SOAP, OpenAPI for REST, captured sample for opaque APIs)
– LLM generates a name + description from the response fields
– New version lives in the discovery layer only
– Original schema preserved, agent still calls the real API
https://t.co/55QNiTi0AP
getProcInfo3 → 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 👇🏽
Realization: the function name was never the signal.
The response shape is.
{
"custId": "C-44218",
"billingAddress": { ... },
"accountStatus": "active",
"primaryContact": { ... }, "assignedManager": "..."
}