Servidor MCP de SwishrJobs

• Nombre en el registrocom.swishrjobs/swishrjobsverificado en el registro MCP

El nombre en el registro está bajo swishrjobs.com. El registro solo permite usar ese espacio de nombres a quien demuestra control del dominio por DNS o HTTP.

• Estadorespondecomprobado el 2026-10-31
• Herramientas37
• El servidor se llamaswishrjobs
• Versión del servidor1.0.0
• Versión del protocolo2025-06-18

El 2026-10-31 el servidor respondió a initialize y tools/list sin iniciar sesión. Primera respuesta en 99 ms.

• Sus herramientas hacen todos los casos de uso comprobados: Convert CSV rows to JSON objects and back; Report duplicate records in a dataset; Build a regex from example strings.
• Comprobado 2 de los 7 días necesarios para juzgar su fiabilidad.

Lo dicen reglas a partir de las mediciones de arriba. La primera llamada probable la elige un modelo de la lista de herramientas; lee su descripción antes de fiarte.

• Nota INITE MCPtras una semanala nota necesita 7 comprobaciones diarias: 2 hasta ahora
• Qué puede hacer un agente con él3 de 3 casos de uso
• Respondiómidiendo2 de las 7 comprobaciones diarias necesarias para mostrar el porcentaje
• Mediana de la primera respuesta174 ms
• Espacio en el contexto del agente≈ 19.247 tokenslas definiciones de todas sus herramientas (37), que el agente lleva en cada turno
• Definiciones de herramientasB · 82 de 100
• Resultados tipados37 de 37 herramientasdeclaran outputSchema: el resultado llega tipado y se lee de una vez

• Parámetros sin descripción: en 35 de 37
• Sin indicar si solo lee o puede destruir: 5 de 37

Un programa comprueba el servidor una vez al día: initialize y tools/list, sin modelo. Los tokens son la longitud de las definiciones, a unos cuatro caracteres por token. La nota promedia seis comprobaciones del nombre, la descripción, el esquema y las anotaciones de cada herramienta; dice lo bien descritas que están, no si funcionan. La nota pondera solo lo medido: si responde (25%), si hace el trabajo del producto (25%), definiciones (20%), contexto (10%), uso (10%) y lo fácil que es conectarse (10%). Lo que no se midió queda fuera, y una instrucción oculta limita la nota a 40. El estado de los servidores MCP de los proveedores: método y números →

• list_capabilities

  List every task SwishrJobs can execute, with each one's inputs, deliverables, price, and whether it can run right now.

• get_performance

  Return the measured success rate, latency, and expected cost per accepted result for each capability, from controlled synthetic benchmarks. A capability that has not been benchmarked reports measured=false with a null success rate; no…

• select_capability

  Rank capabilities for a described task by task match, measured synthetic success rate, and expected cost per accepted result, and explain the ranking. Use this to decide which capability to run before quoting it.

• preflight_job

  Validate a job request and receive a priced quote without executing anything. Use this to learn the cost and the accepted inputs before authorizing.

• submit_job

  Authorize and execute a previously quoted job, then return the verified result. Requires explicit authorization. Prefer a capability-specific tool (for example submit_csv_json_transformation) when one exists, because it documents that…

• submit_boundary_value_generation

  Produce a standard-library Python module that produces boundary values for an integer range, plus pytest tests. Choose this when you need the boundary and just-outside values of an inclusive integer range, with tests. Do not choose this…

• submit_csv_clean

  Clean a CSV and return the cleaned file plus a record of every change. Trims cells, makes duplicate and empty column names unique, drops blank and duplicate rows, and pads or truncates ragged rows. Choose this when you want the CSV itself…

• submit_csv_json_transformation

  Produce a standard-library Python module that transforms CSV text into a JSON array of objects, plus pytest tests. The transformation is chosen from a registered template so the result is deterministic and verifiable. Choose this when you…

• submit_csv_preflight

  Check a CSV before it is imported. Reports ragged rows, duplicate and empty column names, blank and duplicate rows, per-column type drift and column profiles, each with the row number a spreadsheet would show. Choose this when you have a…

• submit_csv_quality_report

  Score a CSV on completeness, type consistency and uniqueness, per column, and report the columns that are always empty, mostly empty, constant, or hold mixed types, plus duplicate rows. Choose this when you need a quick, reproducible…

• submit_csv_to_json_rows

  Convert a CSV into a JSON array of objects keyed by the header, with documented type coercion: empty becomes null, integers and numbers become numbers, true and false become booleans, everything else stays a string. Choose this when you…

• submit_data_validation_module

  Produce a standard-library Python module that validates a record and returns structured errors, plus pytest tests. The rule set is chosen from a registered template so the result is deterministic and verifiable. Choose this when a record…

• submit_dataset_quality_report

  Produce a standard-library Python module that computes a quality report for an array of records, plus pytest tests. Choose this when you need a computed quality summary of a record array: counts, presence, nulls, completeness ratio, exact…

• submit_duplicate_group_report

  Produce a standard-library Python module that groups records sharing a key field, plus pytest tests. Choose this when you need each repeated key value reported with its count and the positions of its members. Do not choose this to remove…

• submit_edge_case_check

  Produce a standard-library Python module that reports boundary conditions for a text value, plus pytest tests. Choose this when a text value must be classified against a fixed set of boundary conditions, one boolean each. Do not choose…

• submit_env_config_parsing

  Produce a standard-library Python module that parses a dotenv-style configuration into JSON, plus pytest tests. Choose this when you need to parse a dotenv-style configuration into a JSON object, skipping comments and blank lines and…

• submit_field_mapping

  Produce a standard-library Python module that renames and selects JSON fields using a mapping, plus pytest tests. Choose this when fields must be renamed and selected via an explicit source-to-destination mapping. Do not choose this for…

• submit_html_text_extraction

  Produce a standard-library Python module that extracts readable text from an HTML fragment, plus pytest tests. Choose this when you need the visible text of an HTML fragment with tags removed, script and style contents dropped, entities…

• submit_json_csv_conversion

  Produce a standard-library Python module that renders a JSON array of objects as CSV text, plus pytest tests. Choose this when you need a tested function that renders a JSON array of objects as CSV, using the union of keys as the header…

• submit_json_diff

  Produce a standard-library Python module that reports the structural difference between two JSON documents, plus pytest tests. Choose this when you need the structural difference between two JSON documents as added, removed and changed…

• submit_json_schema_inference

  Produce a standard-library Python module that infers a JSON Schema from sample records, plus pytest tests. Choose this when you need a draft 2020-12 JSON Schema inferred from sample objects, with keys present in every record marked…

• submit_json_schema_validation

  Validate a JSON document against a JSON Schema and report every violation with its JSON Pointer path and the keyword that failed. Supports type, required, properties, items, enum, const, numeric bounds, string length and pattern, array…

• submit_key_normalisation

  Produce a standard-library Python module that rewrites JSON object keys to lower snake_case, plus pytest tests. Choose this when object keys must become lower snake_case, with values left untouched. Do not choose this expecting acronym…

• submit_malformed_record_detection

  Produce a standard-library Python module that reports records violating a fixed field contract, plus pytest tests. Choose this when you need one entry per offending record, naming its index and the rule it broke, against a fixed contract…

• submit_markdown_table_rendering

  Produce a standard-library Python module that renders JSON records as a Markdown table, plus pytest tests. Choose this when JSON records must become a GitHub-flavoured Markdown table with pipes escaped. Do not choose this for HTML tables…

• submit_metadata_extraction

  Produce a standard-library Python module that extracts key/value metadata from a document head, plus pytest tests. Choose this when 'key: value' metadata must be read from the head of a text document, preserving duplicate keys rather than…

• submit_nested_flattening

  Produce a standard-library Python module that flattens a nested object into dotted-path keys, plus pytest tests. Choose this when a nested object must become single-level dotted-path keys, leaving lists as leaves. Do not choose this if…

• submit_product_feed_gtin_check

  Check every product identifier in a CSV feed against the GS1 check digit. Reports non-numeric values, wrong-length codes and check-digit mismatches with the expected digit, each with the spreadsheet row number, so a Google Merchant Center…

• submit_python_multifile_package

  Produce a small multi-module Python package from a registered, deterministic template: an implementation module, a public facade, a pytest suite, and a README. Choose this when the deliverable is a package rather than one file: a facade…

• submit_python_utility_module

  Produce a small standard-library Python module from a registered, deterministic template, plus the pytest tests that verify it. Choose this when you need one small, importable standard-library Python module whose behaviour matches a…

• submit_readme_generation

  Produce a standard-library Python module that generates a Markdown README from function signatures, plus pytest tests. Choose this when a Markdown README must be produced from a list of function signatures, one section each. Do not choose…

• submit_record_deduplication

  Produce a standard-library Python module that removes duplicate objects from a JSON array, plus pytest tests. Choose this when duplicates must be removed from a JSON array, keeping the first occurrence and preserving order, optionally on…

• submit_regex_from_examples

  Produce a standard-library Python module that builds a regular expression from positive and negative examples, plus pytest tests. Choose this when a regular expression must be derived from examples using the shared literal prefix…

• submit_regression_suite_generation

  Produce a standard-library Python module that turns recorded input/output pairs into a pytest module, plus pytest tests. Choose this when recorded input/output pairs must become one deterministic pytest case per pair. Do not choose this…

• submit_text_parser_module

  Produce a standard-library Python module that parses a text format into a structured result, plus pytest tests including malformed input. The format is chosen from a registered template so the result is deterministic and independently…

• submit_webhook_payload_validation

  Produce a standard-library Python module that validates a webhook payload envelope, plus pytest tests. Choose this when an incoming webhook envelope must be validated to the registered shape and rejected with structured errors. Do not…

• submit_xml_json_conversion

  Produce a standard-library Python module that converts an XML document into JSON, plus pytest tests. Choose this when you need a tested, standard-library XML-to-JSON conversion that keeps attributes as '@name' keys and collects repeated…