JSON Suppressor
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@JSON SuppressorClean this JSON against the expected schema: {"name":"Alice","age":30,"extraField":"bad"}"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
JSON Suppressor (MCP)
A standalone MCP server that validates and cleans structured data returned by AI agents. It removes invented fields, coerces incorrect types, and ensures the output matches the expected schema before it enters your pipeline.
This repository contains the full implementation and runs independently. It does not depend on the full suite.
Usage
Add this server to your MCP client configuration (Claude Desktop, Cursor, Windsurf, or any MCP‑compatible environment):
{
"mcpServers": {
"json_suppressor": {
"command": "python3",
"args": ["/path/to/mcp-json-suppressor/server.py"]
}
}
}
Related MCP server: task-orchestrator
What it does
- Validates JSON against a schema
- Removes hallucinated or extra fields
- Coerces simple type errors where possible
- Returns cleaned JSON plus a list of violations
Relationship to the full suite
This suppressor is also included in the consolidated mcp-hallucination-suite, which bundles all four suppressors and provides a meta-orchestrator: https://github.com/steveswain14/mcp-hallucination-suite
Related repositories
mcp-prompt-suppressor
mcp-tool-response-suppressor
mcp-grounding-enforcer
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- Alicense-qualityDmaintenanceA lightweight server that enables AI agents to emit and validate structured messages through MCP tool call returns. It facilitates reliable programmatic consumption of agent outputs by echoing validated payloads against predefined schemas.Last updated8MIT
- Alicense-qualityAmaintenanceServer-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.Last updated198MIT
- AlicenseAqualityCmaintenanceMCP server that validates LLM-generated tool-call arguments, lints tool definitions, and produces retry messages for AI assistants.Last updated3501MIT
- Alicense-qualityCmaintenanceMCP server for AI agent security guardrails. Provides input validation, prompt injection detection, PII redaction, output filtering, policy enforcement, rate limiting, and comprehensive audit logging.Last updated481MIT
Related MCP Connectors
MCP server for AI agents to plan, verify, and deploy Cloudflare-native apps.
Monitor MCP servers, API contracts and AI outputs for schema drift. Alerts on breaking changes.
MCP server connecting AI agents to non-custodial staking data across 130+ networks.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/steveswain14/mcp-json-suppressor'
If you have feedback or need assistance with the MCP directory API, please join our Discord server