Nanotoll MCP

{'type': 'object', 'required': ['payload', 'from_format', 'to_format'], 'properties': {'payload': {'type': 'string', 'description': 'Text to convert (1 char min, 10 MiB max).'}, 'to_format': {'enum': ['json', 'yaml', 'toml', 'csv'], 'type': 'string', 'description': 'Target format to convert into.'}, 'from_format': {'enum': ['json', 'yaml', 'toml', 'csv'], 'type': 'string', 'description': 'Source format of the input payload.'}}}

{'type': 'object', 'required': ['text_a', 'text_b'], 'properties': {'text_a': {'type': 'string', 'description': 'First text version (the "before" text).'}, 'text_b': {'type': 'string', 'description': 'Second text version (the "after" text).'}}}

{'type': 'object', 'required': ['model', 'input_tokens', 'output_tokens'], 'properties': {'model': {'type': 'string', 'description': 'Model name (e.g. gpt-4o).'}, 'input_tokens': {'type': 'integer', 'minimum': 0, 'description': 'Number of input (prompt) tokens.'}, 'output_tokens': {'type': 'integer', 'minimum': 0, 'description': 'Number of output (completion) tokens.'}}}

{'type': 'object', 'required': ['name', 'endpoints'], 'properties': {'name': {'type': 'string', 'description': 'Service name (H1 title of the llms.txt file).'}, 'links': {'type': 'array', 'items': {'type': 'object', 'required': ['title', 'url'], 'properties': {'url': {'type': 'string', 'format': 'uri', 'description': 'Target URL.'}, 'title': {'type': 'string', 'description': 'Display text for the link.'}}}, 'description': 'Optional related links (docs, source, etc.). Each item has title and url.'}, 'pricing': {'type': ['string', 'null'], 'description': 'Pricing summary string (e.g. "$0.0002 per call"). Pass null to omit.'}, 'tagline': {'type': ['string', 'null'], 'description': 'One-line summary of the service, shown as a subtitle below the H1. Pass null to omit.'}, 'overview': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Paragraphs of prose describing the service. Each array element becomes a paragraph in the llms.txt Overview section.'}, 'endpoints': {'type': 'array', 'items': {'type': 'object', 'required': ['method', 'path', 'description'], 'properties': {'path': {'type': 'string', 'description': 'Endpoint path (e.g. /api/v1/squeeze).'}, 'method': {'type': 'string', 'description': 'HTTP method (GET, POST, etc.).'}, 'description': {'type': 'string', 'description': 'What the endpoint does.'}}}, 'description': 'API endpoints to list in the llms.txt. Each item has method, path, and description.'}}}

{'type': 'object', 'required': ['text', 'patch'], 'properties': {'text': {'type': 'string', 'description': 'Original text to apply the patch to.'}, 'patch': {'type': 'string', 'description': 'Unified diff patch text.'}}}

{'type': 'object', 'required': ['payload'], 'properties': {'payload': {'type': 'string', 'description': 'Text to prune (1 char min, 10 MiB max).'}, 'comment_prefix': {'type': 'string', 'description': "Optional. Explicit comment-line prefix to strip outside code fences (e.g. '//' for C-style code). Omit for format-aware pruning: markdown '#' headings are preserved (v101 #12 note), no line stripping on plain text. Max 64 bytes, no control chars."}, 'remove_empty_lines': {'type': 'boolean', 'default': True, 'description': 'If true, empty lines outside code fences are removed.'}}}

{'type': 'object', 'required': ['url'], 'properties': {'url': {'type': 'string', 'format': 'uri', 'description': 'URL of the web page to fetch and convert to markdown.'}, 'max_tokens': {'type': 'integer', 'minimum': 1, 'description': 'Optional token budget â\x80\x94 markdown is truncated to this many estimated tokens. Omit for full page.'}, 'include_links': {'type': 'boolean', 'default': True, 'description': 'If true, hyperlinks are kept as markdown links.'}, 'preserve_tables': {'type': 'boolean', 'default': True, 'description': 'If true, HTML tables are preserved as GFM tables.'}}}

{'type': 'object', 'required': ['content'], 'properties': {'content': {'type': 'string', 'description': 'llms.txt content to validate.'}}}