MCP-Inception
This MCP server, developed by tanevanwifferen, enables nested LLM queries by allowing one MCP client to call another. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers tools for delegating tasks and offloading context windows. The implementation focuses on task delegation and parallel execution, with features like ignoring intermediate steps and running prompts concurrently for multiple inputs. It's particularly useful for developers working on complex AI workflows or context management, enabling use cases such as distributed problem-solving, multi-agent collaboration, and efficient handling of large context windows without directly managing multiple LLM instances.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/tanevanwifferen/mcp-inception
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve MCP-Inception from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.