Gram by Speakeasy
Instantly create MCP servers and SDKs that LLMs understand
Gram by Speakeasy launched on September 9, 2025 with 227 votes, #124 of 8,160 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Gram is an open source platform that enables your team to build MCP servers that perform. Start with your API, add context, refine prompts, and compose custom workflow-based tools until LLMs are executing reliably in production. Start building for free!
A control plane to connect, secure and scale AI usage across your organization.
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Gram FunctionsNov 2025 · speakeasy.com · ▲119Hi HN, Georges from the Gram team here. We're really excited to share a major update to Gram, our platform for curating tools for agents, in the form of Gram Functions. Gram initially started out by letting users upload OpenAPI documents and turning them into tools that can be curated into small MCP servers that power your agentic use cases. We've known for quite some time that many existing REST APIs are simply not suitable as LLM tools and we wanted to solve this problem by letting users simply write code and we would take care of deploying that code for them and hosting MCP servers. We…
GuMCP – Open-source MCP servers, hosted for free2025 · github.com · ▲79Hello! We open sourced all our current MCP servers to platforms like Slack, Google sheets, Linear, Perplexity and will be contributing a few more integrations every day to the project. problems we're hoping to solve: - Many people are creating MCP servers for the same apps. They're scattered across different repos but flavors of the same thing. We're making one standardized mono project for all MCP servers. - Startups are charging for hosting MCP servers. This is blocking tons of people from being able to play around with MCP casually. We're hosting them for free. - Non-technical people…
A "Codebase" as an MCP Server2025 · github.com · ▲20We built a reference MCP server that lets your editor/agent learn a codebase directly from source (signatures, types, AST, comments). Docs are optional. The reference impl runs on our open-source project’s codebase. Why we built it Docs are important, but they add another abstraction layer between your code and your users. Keeping them at the right quality is hard (especially at a startup), and LLM-generated docs are often mediocre until you invest real polish. Exposing code to the model in a structured way keeps answers grounded and current, and it’s always available. You can even…
- OSOpen-Source MCP Server for Context and AI Tools2025 · ▲43
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…
MCPCoreMar 2026 · mcpcore.io · ▲80MCPCore is a complete MCP hosting and MCP cloud platform. Create, build, and deploy MCP servers in minutes, then manage auth, secrets, and analytics from a single dashboard.
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