Schema | mcp-glm-kimi-ollama

mcp-glm-kimi-ollama

Describes the environment variables required to run the server.

Name	Required	Description
`GLM_API_KEY`	No	Your Zhipu API key for the GLM MCP server.
`GLM_BASE_URL`	No	Base URL for the GLM API, e.g. https://open.bigmodel.cn/api/anthropic.
`GLM_DELEGATE`	No	Set to 'on' to enable delegate mode.
`GLM_PEAK_MODEL`	No	Model to use during peak hours, e.g. glm-4-flash.
`GLM_CHEAP_MODEL`	No	Cheapest model for cost-saving, e.g. glm-4-flash.
`ASK_OLLAMA_MODEL`	No	The Ollama model to use, e.g. qwen3:8b.
`MOONSHOT_API_KEY`	No	Your Moonshot API key for the Kimi MCP server.
`GLM_OFFPEAK_MODEL`	No	Model to use during off-peak hours, e.g. glm-4-flash.

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
kimi_read_fileA	Read a text file. Returns file content up to limit lines.
kimi_write_fileB	Create or overwrite a file with given content.
kimi_edit_fileB	Find-and-replace edit in a file (exact string match).
kimi_globB	Find files matching a glob pattern.
kimi_grepC	Search for regex patterns in files.
kimi_shellA	Execute a shell command. Returns stdout, stderr, and exit code.
kimi_fetch_urlB	Fetch a URL and return its text content (HTML stripped).
kimi_thinkB	Extended step-by-step reasoning for complex problems.
kimi_reviewC	Code review for bugs, security issues, and performance.
kimi_testC	Generate or improve tests for a source file.
kimi_researchB	Analyze a codebase or answer questions using 128K context.
kimi_read_mediaC	Analyze images using Moonshot vision API.
kimi_web_searchC	Search the web and return AI-summarized results.
kimi_agentC	Autonomous agent for complex multi-step tasks using Kimi K2.5.

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/sinner12123/mcp-glm-kimi-ollama'

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