Context Mode
Related Servers
Alternatives to Context Mode
No user-submitted related servers found.
Related Servers
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- AlicenseAqualityAmaintenanceProvides reversible context compression for AI agents, reducing token usage while preserving the ability to retrieve original content, and serves as an MCP server for integration with tools like GitHub Copilot and Claude Code.31Apache 2.0
- AlicenseNot gradedqualityAmaintenanceA local MCP server that gives LLMs long-term memory by indexing code, infrastructure, logs, and docs into a queryable graph. It enables semantic and structural search, evidence-backed reasoning, and tracked plans that persist across sessions and teams.1Apache 2.0
TDQS
Scored across 11 tools
ctx_execute, ctx_execute_file, and ctx_batch_execute share an execution surface, but each has a clearly scoped role (single code block vs file-scoped processing vs batched commands with auto-indexing) reinforced by detailed WHEN/WHEN NOT guidance. ctx_index and ctx_fetch_and_index are similarly distinct (inline content vs URL fetching). No two tools are truly interchangeable.
Every tool uses the ctx_ prefix with lowercase snake_case, and most follow a verb pattern (ctx_execute, ctx_index, ctx_search, ctx_purge, ctx_upgrade) or a noun for informational tools (ctx_stats, ctx_doctor, ctx_insight). Fetch-and-index and batch-execute combine verbs in a predictable, readable way.
11 tools cover the server's scope — sandboxed execution, knowledge-base indexing/retrieval, maintenance (doctor, upgrade), statistics, and destructive cleanup — without redundancy. Each tool has a distinct purpose, and the count is within the ideal range for a feature-rich but focused MCP server.
The main lifecycle is covered: capture (ctx_execute/ctx_execute_file/ctx_batch_execute/ctx_fetch_and_index), store (ctx_index), retrieve (ctx_search), and destroy (ctx_purge). Minor gaps remain: there is no per-source or per-chunk deletion/update tool, and no explicit way to list all indexed sources beyond stats counts.