context-doctor
Cut LLM agent token use in Claude Code, Cursor, Codex, Gemini CLI.
Connector by KushalP1 · GitHub account verified by the MCP Registry
Chalk Labs
Need help deploying context-doctor?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/kushalp1-context-doctor
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 25, 2026.
- Tools
- 4 read · 0 write · 0 deleteRead-only
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Node.js package
Tools by what they do 4
Read from the source code; the running server may list different tools.
Read 4 · Look things up without changing anything.
context_best_practicesoptimize_contextpack_contextprofile_context
Network hosts it talks to 8
api.anthropic.com· found in codeapi.openai.com· found in codeapple.com· found in codechatgpt.com· found in codegai.ventures· found in codegenerativelanguage.googleapis.com· found in codegithub.com· found in codeglama.ai· found in code
Files it touches
/etc/gshadow/etc/master.passwd/etc/shadow/etc/ssh/etc/sudoers/opt/homebrew/bin/claude- Your home directory (~)
- Any path the agent passes to its tools
Tools (4)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
context_best_practicesContext best practicesread-onlyCurated checklist of context-management practices, optionally for one provider. Call it when the user asks how to keep context lean or how to structure prompts for caching.
optimize_contextOptimize contextread-onlyRewrite a conversation to reclaim tokens with deterministic strategies (dedupe, trim stale tool results, strip base64; prune-history is optional and lossy). Returns the slimmed JSON and a savings summary; no LLM calls. Results over 100k chars are not echoed back (summary and a CLI command instead). Use after profile_context finds waste the user wants fixed. Add prune-history only with the user's consent, then write the replacement summary as the result instructs.
pack_contextPack contextread-onlyRead only the parts of large files a question needs: chunks files or folders along their structure, ranks the chunks against `query` and returns the best that fit `max_tokens`, each with an id and line range. No query: an outline; pick with `ids`. Use instead of reading a big doc, log or folder whole when not editing it. Text, code, PDF, Word, PowerPoint, ODT.
profile_contextProfile contextread-onlyProfile an LLM conversation or prompt: token breakdown, largest blocks, and findings about wasted context (duplicates, oversized pastes or tool results, base64 blobs, long history). Pass ONE input: `conversation` (full OpenAI/Anthropic JSON or raw text) or `sketch` (chat apps such as Claude Desktop or ChatGPT, where you cannot export the conversation: the turn count plus the few blocks that matter, ~120 tokens). Call it whenever the user asks about token usage, context size, cost, speed or limits, and once on your own when the conversation first passes ~30 turns or 3+ large pastes. Act on the …
Signals
- Stars
- 2
- Forks
- 1
- Open issues
- 0
- Last commit
- Oct 23, 2026 (7 days ago)
- Last release
- Oct 26, 2026 (5 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Registry name
io.github.KushalP1/context-doctor- Version
- 0.37.0
- Auth
- No auth
- Packages
- npm context-doctor
- License
- MIT
- Repository
- github.com/KushalP1/context-doctor
- First seen
- Oct 24, 2026
- Last checked
- Oct 26, 2026
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get context-doctor running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
context-doctor MCP server. Agent Mart. https://agentmart.dev/connectors/kushalp1-context-doctor (last updated 2026-10-26)