Save agent steps: query spreadsheets, search PDF/Office files, summarize logs with bounded output
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
One-click editor setup isnβt available for this listing yet β we donβt have a confirmed install command, and weβd rather show nothing than point your editor at the wrong package or host. Follow the projectβs own setup instructions, linked above.
MCP tools for file analysis and reliable agent workflows. tiny-context searches documents, queries spreadsheets and summarizes logs. tiny-runtime collects API pages with checkpoints, detects repeated failures and turns tool progress into cache-scheduling hints. Built by AVRG3.
Choose file tools for documents, tables and logs, or runtime tools for pagination, retry loops and progress integration.
Looking for a tool for a specific task? Find the right tool, with example inputs Β· Machine-readable tool catalog Β· Copyable MCP config.
Designed for agents seeking fewer steps on file tasks:
summarize_log returns repeated errors, counts and time ranges without sending every log line into context.query_table runs SQL over CSV/XLSX/Parquet and returns the result instead of the source rows.query_file for ranked matches or read_section for a known location. file_map supplies an outline when needed.collect_pages saves checkpoints and returns a clear completion status without a model turn for each page.check_progress analyzes a trace; automatic blocking requires the host SDK integration.Measure the whole task: the tool response can be much smaller than the source file, but startup, validation and extra agent turns still cost time. Results depend on the task and client. Agent comparison, including regressions Β· Historical first comparison.
The whole-file-read benchmark below measures a different baseline; its savings are not a prediction for a capable agent.
Official MCP Registry entries: tiny-context (io.github.Warddamn/tiny-context) and tiny-runtime (io.github.Warddamn/tiny-runtime). Task guide Β· Plain-text overview Β· Glama repository profile.
The public catalog includes all 11 tool descriptions and input schemas, generated from the two actual servers and checked in CI. A directory profile does not by itself prove successful inspection or search placement; current discovery status. Your client must connect and permit the chosen server before an agent can call it.
Upgrade older installs using the current install button/config below, then reconnect the server. Existing version-pinned installations do not update automatically.
SQL accepts one read-only query against the supplied table. External file/network access and SQL write commands are disabled; exports require out and never replace existing files. Input/export limits are 64 MB; the query worker defaults to a 15-second deadline with bounded engine/JavaScript memory. These controls are not an operating-system security sandbox.
Go directly to query_file for a question or read_section for a known location; use file_map only when an outline is useful. Repeated document reads reuse a cache of up to eight files, 16 MB of serialized parsed data, and 30 seconds, checking file identity and modification metadata on every hit. The optional Read hook still builds an outline and starts a separate process; it can add work and is not required. Small text and exact-string searches often need only built-ins. Tools have startup/validation overhead and do not guarantee lower total cost on every task.
MCPB-compatible clients: download the bundle for your OS from the agent bundle release and open it in your client. darwin = macOS, win32 = Windows, linux = Linux. Each bundles dependencies for x64 and arm64; a Node.js 20+ runtime is still required (some clients provide it). These are unsigned bundles with SHA-256 hashes in the registry. Downloads are approximately 77 MiB for macOS, 96 MiB for Linux and 34 MiB for Windows. All eight tools were tested from extracted bundles on macOS, Linux and Windows; not every CPU/OS combination or client UI has been tested.
Other MCP clients: use the existing commands below. They download only the dependencies needed for the current machine.
Node.js 20+ required. No npm account or token needed. Use the published GitHub release below. The npm package is not yet published; these commands do not depend on it. The server runs locally over stdio. Allow the first launch time to download its dependencies.
Claude Code
Codex CLI (writes [mcp_servers.tiny-context] to ~/.codex/config.toml)
Cursor β .cursor/mcp.json, or click the Install in Cursor badge above
VS Code β .vscode/mcp.json (note the servers key), or click the Install in VS Code badge above
Windsurf β ~/.codeium/windsurf/mcp_config.json
Claude Desktop β ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) Β· %APPDATA%\Claude\claude_desktop_config.json (Windows)
Then paste the snippet below into CLAUDE.md / AGENTS.md / .cursorrules so the agent reaches for the tools at the right moments. Claude Code users can also add the Read guard hook, an optional stricter policy. Start with the snippet; the hook did not improve the measured comparison.
Restart or reconnect your client after setup. Confirm that tiny-context is connected and exposes eight tools. Then use the three worked examples for a CSV question, a PDF clause and an error log, with expected answers.
Claude Code plugin: /plugin marketplace add Warddamn/tiny-tools, then /plugin install tiny-context@tiny-tools. This includes both the server and task-selection guidance. Choose this or the manual MCP setup to avoid duplicate servers.
query_table. This is not an offline installer. GitHub and npm maintain their own download counters; those are not counts of agents or people.No reviews yet β be the first to share how this listing worked for you.
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