metabind-ai
Metabind AI provides a platform for building and deploying AI agents that can interact with users through interactive charts, tables, and forms. Their MCP (Metabind Connect Platform) enables agents to run in any brand environment, integrate with Claude, ChatGPT, and other large language models, and be embedded in native applications. The service offers a developer portal, comprehensive documentation, API reference, quickstart guides, pricing plans, and open-source SDKs. Metabind focuses on simplifying the creation of AI‑driven user interfaces and supports seamless integration across multiple MCP hosts.
metabind-ai publishes 2 API contracts indexed on the APIs.io network, including OpenAPI Plant Store Bindjs API, and 1 more. Tagged areas include Company, AI, MCP, Agents, and Platform.
The metabind-ai catalog on APIs.io includes 1 event-driven AsyncAPI specification, 1 JSON-LD context, and 1 Spectral governance ruleset.
metabind-ai’s developer surface includes CLI, authentication, documentation, API reference, getting-started guide, support, engineering blog, and 29 more developer resources.
Kin Score
APIs 2
Individual APIs this provider publishes, each with its own machine-readable definition.
GraphQL API
Rendering-first GraphQL API for content delivery.
OpenAPI Plant Store Bindjs API
A sample API that uses a plant store as an example to demonstrate features in the OpenAPI specification
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
Pricing Plans 1
Published pricing tiers and plan structures.
Event Specifications 1
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Metabind Ai Webhooks
ASYNCAPISemantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Metabind Ai Context
JSON-LDSpectral Rules 1
Spectral governance rulesets for linting and validating these APIs.
metabind-ai API Rules
SPECTRALJSON Schema 2
Standalone JSON Schema definitions for this provider's data models.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes governing access to this provider's APIs.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 4
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 9
Pagination, idempotency, versioning, errors, and events
Scroll for all 9
Build 5
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 3
Properties that don't map to a standard resource type
Source (apis.yml)
metabind-ai API — frequently asked questions
Does metabind-ai have an API?
Yes. APIs.io lists 2 APIs from metabind-ai, including GraphQL API and OpenAPI Plant Store Bindjs API.
Is there an OpenAPI specification for the metabind-ai API?
Yes. APIs.io indexes 1 OpenAPI specification for metabind-ai, each linked for download from this page.
How do I authenticate with the metabind-ai API?
metabind-ai documents its authentication (2 schemes). The details are profiled on APIs.io as Metabind Ai Authentication.
How much does the metabind-ai API cost?
APIs.io lists 4 pricing plans for metabind-ai, with each plan's price, limits and inclusions under Pricing Plans on this page.
Does metabind-ai have an MCP server?
Yes. APIs.io lists 1 MCP server for metabind-ai: Remote MCP server at docs.metabind.ai.
Is the metabind-ai API ready for AI agents?
metabind-ai has a Kin Score of 58.4 out of 100 (strong) and an Agent Readiness score of 51.2 (agent-ready), scored by API Evangelist on 2026-10-31.
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.