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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MCP_HOSTNoBind host de los transportes HTTP.127.0.0.1
MCP_PORTNoBind port de los transportes HTTP.8000
MCP_LOG_LEVELNoNivel de log (siempre a stderr).INFO
MCP_TRANSPORTNoTransporte del servidor: stdio | streamable-http | sse.stdio
MCP_PLUGIN_DIRSNoDirectorios de plugins externos.
MCP_SERVER_NAMENoNombre visible por el cliente.universal-mcp
MCP_ENABLE_SHELLNoHabilita system_run_command. ⚠️false
MCP_HTTP_TIMEOUTNoTimeout HTTP en segundos.15
MCP_WORKSPACE_DIRNoSandbox para files_* y data_*../workspace
MCP_DISABLED_MODULESNoMódulos a omitir, p. ej. system,ai.
MCP_MAX_OUTPUT_CHARSNoTruncado de cuerpos HTTP.20000
MCP_HTTP_BLOCK_PRIVATENoBloquea IPs privadas/loopback (anti-SSRF).true

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
ai_text_statsB

Text metrics: chars, words, unique words, sentences, paragraphs, reading time.

ai_summarizeA

Extractive summary: picks the most relevant sentences (word-frequency scoring, ES/EN stopwords) keeping original order. Max 10 sentences.

ai_sentimentA

Lexicon-based sentiment for Spanish/English text. Returns score in [-1,1] and label.

ai_keywordsB

Top keywords by frequency (stopwords ES/EN removed).

ai_extractA

Extract entities by regex: kind ∈ {emails, urls, phones, numbers}.

ai_slugifyA

Convert text to a URL-friendly slug (ASCII, hyphen-separated).

analysis_statsB

Descriptive statistics for a list of numbers: n, sum, mean, median, min/max, stdev, variance and percentiles (p25/p50/p75/p90).

analysis_math_evalA

Safely evaluate an arithmetic expression: + - * / // % **, parentheses, sqrt/sin/cos/tan/log/exp/abs/floor/ceil/round/min/max and pi/e/tau. No code execution.

analysis_linear_regressionB

Fit y = slope·x + intercept by least squares. Returns slope, intercept, r, r_squared and the equation string.

analysis_correlationC

Pearson correlation coefficient (r, r², direction, strength).

analysis_frequencyB

Count occurrences of each item and return the most common ones.

automation_http_requestB

Perform an HTTP request (GET/POST/PUT/PATCH/DELETE/HEAD/OPTIONS). Private/internal hosts are blocked by default (anti-SSRF). Body is truncated.

automation_send_webhookB

POST a JSON payload to a webhook URL (adds X-Webhook-Secret header if provided).

automation_uuid4A

Generate a random UUID v4 string.

automation_timestampA

Current time: unix epoch and ISO-8601 UTC.

automation_waitA

Sleep for N seconds (0.01–60). Useful for polling and retries.

data_read_csvB

Read a CSV file from the sandbox. Returns columns, sample rows and totals.

data_read_jsonB

Read and parse a JSON file from the sandbox (max 10 MB).

data_flatten_jsonC

Flatten nested JSON objects/arrays into a single-level dict with dotted keys. Pass data as a JSON value.

data_sqlite_queryB

Run a READ-ONLY SQL query (SELECT/WITH) against a SQLite file in the sandbox. Writes and DDL are blocked.

data_to_jsonB

Serialize any JSON-serializable data into a pretty JSON string.

files_list_filesB

List files/folders in the sandboxed workspace (relative paths only).

files_read_fileB

Read a UTF-8 text file from the sandbox (max_bytes caps the output).

files_write_fileB

Write/append UTF-8 text to a file in the sandbox. Creates parent folders.

files_delete_fileB

Delete a file (never a directory) from the sandbox.

files_search_filesC

Grep-like text search across sandbox files. Supports literal or regex queries. Returns matching file paths with line numbers.

system_infoA

Get host system information: OS, python, CPUs, hostname, cwd.

system_nowA

Current date/time in a given IANA timezone (e.g. 'America/Bogota', 'UTC').

system_disk_usageC

Disk usage statistics (total/used/free bytes and percent) for a path.

system_env_varsA

List environment variables (optionally by prefix). Secret-looking values are masked.

system_run_commandB

Execute a shell command on the host. DISABLED unless the server was started with MCP_ENABLE_SHELL=true. Use with extreme caution.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.1/5.0

Scored across 31 tools

Disambiguation4/5

Most tools are clearly separated by domain prefix and specific action, such as files_read_file versus data_read_csv. A few overlaps remain: automation_timestamp and system_now both return current time, and automation_http_request overlaps with automation_send_webhook for webhook-style POSTs.

Naming Consistency4/5

Names consistently use snake_case with a domain prefix (analysis_, ai_, automation_, data_, files_, system_), making the set predictable. Minor deviations exist because some suffixes are nouns (analysis_stats, system_info) while others are actions (files_read_file).

Tool Count2/5

With 31 tools, the server is heavy for an agent-facing MCP surface and includes many small utility operations. While the 'Universal' scope explains some breadth, the count exceeds the 25+ threshold where tools risk becoming hard to scan and select.

Completeness4/5

The surface covers many common utility domains: file CRUD/search, CSV/JSON/SQLite reading, statistics, text analysis, HTTP/webhook automation, and system inspection. Gaps remain, such as no CSV/JSON write operations, no file move/copy, and read-only SQLite, but these are mostly workaroundable.

Maintenance

ActivityMaintained
ResponsivenessNo issues