Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"mcp-context-pointer","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# mcp_context_pointer **A plug-in extension for [Model Context Protocol (MCP)](https://modelcontextprotocol.io) enabling Cross-App Memory Pointers (ContextPointer block) and seamless use of vaulted memory with LLM agents.** _Built by Third Plane._ [](https://pypi.org/project/mcp-context-pointer/) [](https://github.com/modelcontextprotocol/spec) [](LICENSE) --- ## 🚀 What is this? `mcp_context_pointer` is an optional plug-in for the MCP Python SDK. It provides the **ContextPointer block**—an efficient, privacy-stable, cross-application pointer for referencing conversation history, memory chunks, or arbitrary state, backed by a vault service. - **Save up to 40–60% on LLM context tokens** - **Enable compliance (GDPR, Consent Ledger) and auditability** - **Point to fast, managed vaults** or your own self-hosted instance Supports: - Adaptive inlining out-of-the-box (fallbacks when vault or network is slow) - Signature verification (Ed25519/PASETO or HMAC) - Works with **any** MCP-compliant service, agent, or app --- ## 🛠️ Installation ```bash pip install mcp-context-pointer # or as an MCP extra: pip install "modelcontextprotocol[context-pointer]" ``` --- ## 💡 Quick Start ```python from mcp_context_pointer.block import ContextPointerBlock from mcp.blocks.registry import get_block import requests # Compose a conversation: history = [ {"role": "user", "text": "Can you summarize our last meeting?"}, {"role": "assistant", "text": "Certainly, here's a short summary..."}, {"role": "user", "text": "What was the action item?"} ] # Inline last N, pointerize the rest: from mcp_context_pointer.wrap import wrap_history_with_pointer new_blocks = wrap_history_with_pointer( history=history, n_inline=2, vault_url="https://vault.thirdp…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.