AppFactor.io

AppFactor is a native end-to-end agentic orchestration tool that automates software maintenance and modernization at scale. MCP Bridge is live soon.

[Dev Hunt @devhunt_]

👋 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

[Dev Hunt @devhunt_]

🎉🏆 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! 👍

[AppFactor.io @appfactorio]

🚀 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

[Deal Lite @DealLiteUK]

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

[0noise @0noisee]

Appfactor launches MCP Bridge: auto-generate MCP tool definitions for any REST/GraphQL/SOAP/gRPC API to connect enterprise APIs to AI agents

[Dev Hunt @devhunt_]

Steps to use MCP Bridge:
⇨ Connect existing APIs
⇨ Generate MCP definitions
⇨ Deploy bridge locally
⇨ Connect AI agents
⇨ Execute automated workflows

[Dev Hunt @devhunt_]

⇨ MCP Bridge supports:
• AI agent integrations
• Enterprise API connectivity
• Automation workflows
• Tool generation pipelines
• Cross-platform AI systems

[knarik @liracinai]

my friends at @appfactorio just launched MCP Bridge on @ProductHunt. congrats!

support them with an upvote here: https://t.co/ajzCYduZsu

[AppFactor.io @appfactorio]

🚀 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

[Dev Hunt @devhunt_]

⇨ MCP Bridge by @appfactorio automatically converts APIs into MCP-compatible tools for AI agents without manual integration work.

[Dmitry Noranovich @javaeeeee1]

MCP Bridge by Appfactor: Connect any API to any AI agent by @appfactorio https://t.co/wTbIaTpGjA

[MicroLaunch @MicroLaunchHQ]

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.

[AppFactor.io @appfactorio]

Production-ready isn't a feature you add at the end. It's a shape you carry through every decision.
https://t.co/Irs0bMw404
PH launch tomorrow 🚀

[AppFactor.io @appfactorio]

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👇🏽

[AppFactor.io @appfactorio]

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.

[BetaList @BetaList]

MCP Bridge: Connect any API to any AI agent

https://t.co/kKltrjU82u

[Dev Hunt @devhunt_]

18 competitors this week on DevHunt:

→ Image DPI Converter
→ Skywork Ai
→ Datadget
→ DevTutor
→ ToolRef
→ Ridiculousness
→ InfraPilot
→ Auriko
→ TinyHumans
→ Browser Cloud
→ BLAZED sh
→ DevHelper
→ Thumbs Ai
→ Wondershare Filmora
→ MCP Bridge
→ VibeBot
→ ONLYOFFICE Docs Developer
→ PricePush

↓↓↓

[AppFactor.io @appfactorio]

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

[AppFactor.io @appfactorio]

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 👇🏽

[AppFactor.io @appfactorio]

Realization: the function name was never the signal.
The response shape is.

{
"custId": "C-44218",
"billingAddress": { ... },
"accountStatus": "active",
"primaryContact": { ... }, "assignedManager": "..."
}