Schema | llm-toolkit

llm-toolkit

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }

Functions exposed to the LLM to take actions

Name	Description
get-payloadsB	Fetch payloads from a JSON file with optional filters (category, context, riskLevel)
generate-payloadB	Generate payload variants with mutations (case, whitespace, comment, encoding, tokenBreaker, unicode)
bypass-wafC	Generate WAF-specific bypass variants for a payload (cloudflare, modsecurity, aws-waf, generic)
analyze-payloadB	Analyze a payload to detect attack type and suggest bypass strategies
encodeC	Encode data using various methods (url, doubleUrl, hex, base64, htmlEntity, unicode)
decodeC	Decode data using various methods (url, hex, base64, htmlEntity, unicode, jwt)
jwt-encodeC	Encode a JWT token with payload, optional secret and algorithm
fetch-referenceB	Fetch content from a URL reference (article, video, pdf, tweet)
validate-referenceC	Validate that a content reference URL is reachable
connect-mcpB	Connect to another MCP server via stdio transport
call-mcp-toolC	Call a tool on a connected MCP server
list-mcp-toolsB	List tools available on a connected MCP server
disconnect-mcpC	Disconnect from an MCP server
list-connected-serversA	List all connected MCP servers
list-categoriesA	Returns all available payload categories
healthB	Returns server health status

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/0x1Jar/llm-toolkit'

If you have feedback or need assistance with the MCP directory API, please join our Discord server