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

Joined October 2024
14 Photos and videos
AppFactor.io retweeted
πŸ‘‹ 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 πŸ₯‡ 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
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AppFactor.io retweeted
πŸŽ‰πŸ† Winners of the last week's DevHunt!πŸŽ‰ Our top 3 champs are: 1⃣πŸ₯‡MCP Bridge by @appfactorio – best Dev Tool of the week!!! ▢️ devhunt.org/tool/mcp-bridge 2⃣ @TryPricePush πŸ₯ˆ ▢️ devhunt.org/tool/pricepush 3⃣ Auriko.ai πŸ₯‰ ▢️ devhunt.org/tool/auriko Keep up the great work, everyone! πŸ‘
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AppFactor.io retweeted
πŸš€ 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 ⬆️ producthunt.com/products/mcp…
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AppFactor.io retweeted
Investment News: AppFactor secures Β£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: uktechnews.info/2026/02/05/a… #UKTechInvestmentNews #Investment #Deallite
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AppFactor.io retweeted
May 29
Appfactor launches MCP Bridge: auto-generate MCP tool definitions for any REST/GraphQL/SOAP/gRPC API to connect enterprise APIs to AI agents
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AppFactor.io retweeted
Steps to use MCP Bridge: ⇨ Connect existing APIs ⇨ Generate MCP definitions ⇨ Deploy bridge locally ⇨ Connect AI agents ⇨ Execute automated workflows
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AppFactor.io retweeted
⇨ MCP Bridge supports: β€’ AI agent integrations β€’ Enterprise API connectivity β€’ Automation workflows β€’ Tool generation pipelines β€’ Cross-platform AI systems
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AppFactor.io retweeted
my friends at @appfactorio just launched MCP Bridge on @ProductHunt. congrats! support them with an upvote here: producthunt.com/products/mcp…
πŸš€ 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 ⬆️ producthunt.com/products/mcp…
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AppFactor.io retweeted
⇨ MCP Bridge by @appfactorio automatically converts APIs into MCP-compatible tools for AI agents without manual integration work.
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AppFactor.io retweeted
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=microlaun… Your LLM agents can now consume any API.
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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 3πŸ‘‡πŸ½
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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.
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Production-ready isn't a feature you add at the end. It's a shape you carry through every decision. appfactor.io/blog/mcp-bridge… PH launch tomorrow πŸš€

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AppFactor.io retweeted
18 competitors this week on DevHunt: β†’ Image DPI Converter β†’ Skywork Ai β†’ Datadget β†’ DevTutor β†’ ToolRef β†’ Ridiculousness β†’ InfraPilot β†’ Auriko β†’ TinyHumans β†’ Browser Cloud β†’ BLAZED sh β†’ DevHelper β†’ Thumbs Ai β†’ Wondershare Filmora β†’ MCP Bridge β†’ VibeBot β†’ ONLYOFFICE Docs Developer β†’ PricePush ↓↓↓
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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 πŸ‘‡πŸ½
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Realization: the function name was never the signal. The response shape is. { "custId": "C-44218", "billingAddress": { ... }, "accountStatus": "active", "primaryContact": { ... }, "assignedManager": "..." }
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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 appfactor.io/blog/how-we-mad…

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