Sold by: AppFactor
Deployed on AWS
Turn any REST, GraphQL, SOAP, or gRPC API into AI-ready, optimized MCP tools with zero code. Self-hosted, enterprise-grade security, full observability.
Overview
- MCP Bridge is a self-hosted enterprise grade platform that turns any existing API into AI-ready tools using the Model Context Protocol (MCP). Point it at a REST, GraphQL, SOAP, or gRPC endpoint, and it auto-generates fully described MCP tool definitions that any LLM client can discover and invoke - no custom integration code required. * THE PROBLEM: Connecting LLMs to enterprise APIs today requires writing bespoke tool definitions for every endpoint, maintaining parameter mappings by hand, and rebuilding when schemas change. For organisations with dozens of internal services and hundreds of endpoints, this is a significant engineering tax that slows AI adoption. Meanwhile, uncontrolled MCP server sprawl creates security blind spots, credential exposure, and governance gaps. * HOW IT WORKS: MCP Bridge imports API schemas (OpenAPI, GraphQL introspection, WSDL, gRPC .proto files), auto-generates typed MCP tools with input/output schemas, behavioural annotations, and documentation, then executes at runtime - validating inputs, mapping parameters, handling authentication (Bearer, Basic, API Key, OAuth2, AWS Cognito SRP), and post-processing responses to reduce token waste. For large APIs (100+ endpoints), Code Mode replaces the full tool catalogue with 3 meta-tools, cutting context window usage by approximately 98%. * KEY CAPABILITIES: Protocol translation across REST, GraphQL, SOAP, and gRPC. Per-tool response post-processing (filter, transform, aggregate). Tool curation with metadata enhancement for optimal LLM performance. Enterprise-grade authentication and authorisation. Centralised rate limiting, connection pooling, and retry logic. Comprehensive analytics dashboard with latency, throughput, token usage, and error tracking. Hybrid search with optional semantic similarity for tool discovery. Structured MCP logging with configurable verbosity. * WHO IT IS FOR: Platform teams exposing internal APIs to AI agents. AI engineers building agents that need a managed tool layer. Organisations adopting MCP as a standard and bridging their existing API portfolio. Security teams seeking centralised governance over AI-to-API connectivity. * WHY APPFACTOR: MCP Bridge eliminates the glue code tax, provides a single control plane for all AI-to-API connectivity, and gives security and platform teams the visibility and governance they need - without slowing down AI adoption.
Highlights
- Transform any REST, GraphQL, SOAP, or gRPC API into MCP tools with zero custom code. Auto-generate fully typed MCP tool definitions with input/output schemas, behavioural annotations, and documentation.
- Reduce LLM context window usage by ~98% with Code Mode for large API portfolios (100+ endpoints). Enterprise-grade security: OAuth2, Bearer, Basic, API Key, and AWS Cognito SRP authentication.
- Per-tool response post-processing to filter, transform, and aggregate API responses - cutting token waste from large payloads. Centralised analytics dashboard covering latency, throughput, token usage, error rates, and per-tool cost tracking.
Details
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Delivery option
MCP Bridge v0.11.6
Latest version
Operating system
Linux
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Starter Tier | 3 connected API's, 50 active tools, REST and GraphQL, 7-day log retention, analytics overview - only. | $5,400.00 |
Team Tier | 5 connected API's, 150 active tools, REST, GraphQL, SOAP, gRPC, 30-day log retention, analytics - full + Code Mode | $20,000.00 |
Enterprise Tier | 30 connected API's, 500 active tools, REST, GraphQL, SOAP, gRPC, 90-day log retention, analytics - full + Code Mode + OTel, high availability mode. | $67,000.00 |
Dimensions summary
MCP Bridge is sold as three contract tiers that scale together. Each tier raises the number of connected APIs and active tools you can run. The Starter Tier covers REST and GraphQL protocols, while the Team Tier and Enterprise Tier add SOAP and gRPC. Log retention grows from 7 days to 30 days to 90 days across the tiers. Analytics also expands: Starter gives an overview only, Team adds full analytics plus Code Mode, and Enterprise adds OTel and high availability mode. You pick the tier that fits your API count and retention needs.
Top-of-mind questions for buyers
A connected API is a single external API you link to the platform for translation into MCP. An active tool is an individual callable operation exposed to agents from those APIs. Each tier caps both counts, so your API count and tool count must fit within the tier you select.
Each tier sets fixed caps on connected APIs and active tools. When you reach a cap, you move to a tier with larger limits to add more. The change is not automatic; you select the tier that fits your needs. Moving up also expands protocol support, log retention, and analytics.
Starter Tier supports REST and GraphQL with an analytics overview only. Team Tier and Enterprise Tier add SOAP and gRPC. Team Tier includes full analytics plus Code Mode. Enterprise Tier adds OTel and high availability mode. Log retention runs 7 days on Starter, 30 days on Team, and 90 days on Enterprise.
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Delivery details
MCP Bridge v0.11.6
Supported services: Learn more
- Amazon ECS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Multiple fixes related to AWS Marketplace Deployment
Additional details
Usage instructions
Use the provided Cloudformation stack to deploy.
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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