T
tanevanwifferen/mcp-inception
Call one MCP client from another to split the context
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
我们没有从该仓库取到可核对的安装命令,也没有公开的远端端点。这两样都没有时,我们不出配置——编一条出来比不给更糟。 各客户端的接法 →
- 来源明细
- 收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
- 收录与活跃
- 收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 10 个来源 · mcp
常见问题(答案都来自我们的记录)
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-11-05;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
# Disclaimer
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
Ok this is a difficult one. Will take some setting up unfortunately.
However, if you manage to make this more straightforward, please send me PR's.
# mcp-inception MCP Server
Call another mcp client from your mcp client. Delegate tasks, offload context windows. An agent for your agent!
This is a TypeScript-based MCP server that implements a simple LLM query system.
MCP Server and Client in one
Made with use of mcp-client-cli
Offload context windows
Delegate tasks
Parallel and map-reduce execution of tasks
## Features
### Tools
executemcpclient - Ask a question to a separate LLM, ignore all the intermediate steps it takes when querying it's tools, and return the output.
Takes question as required parameters
Returns answer, ignoring all the intermediate context
executeparallelmcpclient - Takes a list of inputs and a main prompt, and executes the prompt in parallel for each string in the input.
E.G. get the time of 6 major cities right now - London, Paris, Tokyo, Rio, New York, Sidney.
takes main prompt "What is the time in this city?"
takes list of inputs, London Paris etc
runs the prompt in parallel for each input
note: wait for this before using this feature
executemapreducemcpclient - Process multiple items in parallel and then sequentially reduce the results to a single output.
Takes mapPrompt with {item} placeholder for individual item processing
Takes reducePrompt with {accumulator} and {result} placeholders for combining results
Takes list of items to process
Optional initialValue for the accumulator
Processes items in parallel, then sequentially reduces results
Example use case: Analyze multiple documents, then synthesize key insights from all documents into a summary
## Development
### Dependencies:
Install mcp-client-cli
Also install the config file, and the mcp servers it needs in ~/.llm/config.json
create a bash file somewhere that activates the venv and executes the llm executable
bash
#!/bin/bash
source ./venv/bin/activate
llm --no-confirmations
### install package
Install dependencies:
bash
npm install
Build the server:
bash
npm run build
For development with auto-rebuild:
bash
npm run watch
## Installation
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claudedesktopconfig.json
On Windows: %APPDATA%/Claude/claudedesktopconfig.json
json
However, if you manage to make this more straightforward, please send me PR's.
# mcp-inception MCP Server
Call another mcp client from your mcp client. Delegate tasks, offload context windows. An agent for your agent!
This is a TypeScript-based MCP server that implements a simple LLM query system.
MCP Server and Client in one
Made with use of mcp-client-cli
Offload context windows
Delegate tasks
Parallel and map-reduce execution of tasks
## Features
### Tools
executemcpclient - Ask a question to a separate LLM, ignore all the intermediate steps it takes when querying it's tools, and return the output.
Takes question as required parameters
Returns answer, ignoring all the intermediate context
executeparallelmcpclient - Takes a list of inputs and a main prompt, and executes the prompt in parallel for each string in the input.
E.G. get the time of 6 major cities right now - London, Paris, Tokyo, Rio, New York, Sidney.
takes main prompt "What is the time in this city?"
takes list of inputs, London Paris etc
runs the prompt in parallel for each input
note: wait for this before using this feature
executemapreducemcpclient - Process multiple items in parallel and then sequentially reduce the results to a single output.
Takes mapPrompt with {item} placeholder for individual item processing
Takes reducePrompt with {accumulator} and {result} placeholders for combining results
Takes list of items to process
Optional initialValue for the accumulator
Processes items in parallel, then sequentially reduces results
Example use case: Analyze multiple documents, then synthesize key insights from all documents into a summary
## Development
### Dependencies:
Install mcp-client-cli
Also install the config file, and the mcp servers it needs in ~/.llm/config.json
create a bash file somewhere that activates the venv and executes the llm executable
bash
#!/bin/bash
source ./venv/bin/activate
llm --no-confirmations
### install package
Install dependencies:
bash
npm install
Build the server:
bash
npm run build
For development with auto-rebuild:
bash
npm run watch
## Installation
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claudedesktopconfig.json
On Windows: %APPDATA%/Claude/claudedesktopconfig.json
json
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想把收录标记放进 README 就复制这行,可选,不影响收录。
[](https://anclum.com/zh/s/tanevanwifferen-mcp-inception/)
- 来源
- awesome · https://github.com/tanevanwifferen/mcp-inception
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