Alternatives
Products that do what CongressMCP – interact with congress.gov data in natural language does
Congress MCP is an MCP server that gives any MCP client (e.g. Claude Desktop) or MCP-compatible AI agent access to the Congress.gov API. It features full coverage, consolidating 91 operations into just 6 comprehensive legislative toolsets. Search bills, amendments, vote counts, committee actions, members, and more... in natural language. You can self-host it, or get started for free with our hosted server by downloading the NPM bridge. CongressMCP is a foundational, open source offering to bring government data into the AI age. We're building AI-native infrastructure for government affairs…
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Give AI agents access to real-time data across 200+ apps
May 2026 · apideck.com
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2025 · npmjs.com
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Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…
2025
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Hi all! I normally work on the PyTorch project but I've been on baby leave for the past month, so I've been playing around with AI as a user rather than a framework implementor. I really liked the agent experience with Claude Code, but I couldn't really justify spending so many dollars on API costs for random side projects. I already pay for a Claude Pro subscription though, and it turns out you can simulate many of Claude Code's features with an MCP. If you have a Pro subscription, check this out! I think it really captures the Claude Code experience quite well, without forcing you to pay…
2025 · github.com
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This is an open‑source Model Context Protocol (MCP) server that gives any LLM a sense of the passage of time. Most MCP demos wire LLMs to external data stores. That’s useful, but MCP is also a chance to give models perception — extra senses beyond the prompt text. Six functions (`current_datetime`, `time_difference`, `timestamp_context`, etc.) give Claude/GPT real temporal awareness: It can spot pauses, reason about rhythms, and even label a chat’s “three‑act structure”. Runs locally in <60 s (Python) or via a hosted demo. If time works, what else could we surface? - Location /…
2025 · github.com
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Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…
2025 · github.com
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I built Awra to solve a simple problem: understanding what bills in Congress actually mean for regular citizens. What it does: - Explains federal bills in plain language - Shows state-specific impacts - Provides cost analysis when available - Uses AI to answer questions about any bill I've found that while tools like ChatGPT can explain bills, they often hallucinate or work with outdated information. Awra directly fetches from Congress.gov's API and uses RAG to ensure accuracy. Try it out: https://www.awra.ai GitHub: https://github.com/reacthor-ai/awra Looking…
2025 · awra.ai
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