Gram

Gram

Speakeasy
+
+

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About

Gram is an open source platform that enables developers to create, curate, and host Model Context Protocol (MCP) servers effortlessly, by transforming REST APIs (via OpenAPI specs) into AI-agent-ready tools without code changes. It guides users through a workflow: generating default tooling from API endpoints, scoping down to relevant tools, composing higher-order custom tools by chaining multiple calls, enriching tools with contextual prompts and metadata, and instantly testing within an interactive playground. With built-in support for OAuth 2.1 (including Dynamic Client Registration or user-authored flows), it ensures secure agent access. Once ready, these tools can be hosted as production-grade MCP servers, complete with centralized management, role-based access, audit logs, and compliance-ready infrastructure, including Cloudflare edge deployment and DXT-packaged installers for easy distribution.

About

LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Infrastructure teams requiring a tool to transform their endpoints into curated, context-rich MCP servers that are secure, testable, and instantly usable by LLMs

Audience

Developers searching for a framework for developing applications powered by language models

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$250 per month
Free Version Supported
Free Trial Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • As an AI developer, I’ve worked with a wide range of frameworks and libraries, but LangChain has truly impressed me. It’s an incredibly powerful tool for building language models, providing an extensive set of functionalities that allow me to seamlessly integrate different components into my projects. One of the standout features of LangChain is its ease of use and flexibility. Whether you’re working on text generation, document search, or chain-based workflows, the framework’s modularity lets you combine various tools with minimal effort. The pros of LangChain are clear. First, its integration with numerous external APIs and services is top-notch, allowing me to connect language models with external data sources or even automate workflows. The documentation is well-organized and easy to follow, even for newcomers, and the active community provides plenty of resources for troubleshooting and learning. Additionally, LangChain's support for advanced use cases like memory management, multi-step chains, and prompt customization is invaluable for developing sophisticated AI applications.

Cons

  • The learning curve is steep, but once you get the hang of it, the framework becomes significantly more intuitive. Also, while LangChain offers a lot of versatility, it sometimes requires more fine-tuning to get optimal performance with specific models or use cases.

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Speakeasy
Founded: 2022
United States
www.speakeasy.com/product/gram

Company Information

LangChain
Founded: 2022
United States
www.langchain.com

Alternatives

Alternatives

Stainless

Stainless

Anthropic
LM-Kit.NET

LM-Kit.NET

LM-Kit
LangSmith

LangSmith

LangChain

Categories

AI Development Supported

Categories

Integrations

Model Context Protocol (MCP) Supported
Agent Communication Protocol (ACP) Not Supported
Baz Not Supported
Bright Data Not Supported
Codeflash Not Supported
CrateDB Not Supported
Dendrite Not Supported
HoneyHive Not Supported
IBM watsonx.data Not Supported
Langflow Not Supported
Lucidic AI Not Supported
NVIDIA NeMo Guardrails Not Supported
OrcaRouter Not Supported
Persona Not Supported
Runbear Not Supported
ScrapFly Not Supported
Supastarter Not Supported
Tiger Data Not Supported
ZenML Not Supported
asqav Not Supported

Integrations

Model Context Protocol (MCP) Supported
Agent Communication Protocol (ACP) Supported
Baz Supported
Bright Data Supported
Codeflash Supported
CrateDB Supported
Dendrite Supported
HoneyHive Supported
IBM watsonx.data Supported
Langflow Supported
Lucidic AI Supported
NVIDIA NeMo Guardrails Supported
OrcaRouter Supported
Persona Supported
Runbear Supported
ScrapFly Supported
Supastarter Supported
Tiger Data Supported
ZenML Supported
asqav Supported
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