A
licenseA
qualityD
maintenanceAn MCP server that converts PDF files to Markdown format using AI sampling capabilities, supporting both local files and URLs with incremental conversion features.
1
1
MIT
Text-Toolkit
Provides tools for formatting and beautifying XML documents, enabling structured markup processing and presentation.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Text-Toolkit convert 'hello world' to snake_case"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
文本转换工具 Text Toolkit
一个提供文本转换、格式化和分析功能的MCP服务器，可直接集成到开发工作流中。 An MCP server that provides text conversion, formatting, and analysis functions, which can be directly integrated into the development workflow.## 工具列表 Tool List
本MCP服务封装下列工具，可让模型通过标准化接口调用以下功能。 本MCP服务封装下列工具，可让模型通过标准化接口调用以下功能。
工具 Tool | 描述 Description |
case_to_camel | Convert text to camelCase |
case_to_pascal | Convert text to PascalCase |
case_to_snake | Convert text to snake_case |
case_to_kebab | Convert text to kebab-case |
case_to_constant | Convert text to CONSTANT_CASE |
case_to_dot | Convert text to dot.case |
case_to_no | Convert text to no case |
case_to_pascal_snake | Convert text to Pascal_Snake_Case |
case_to_path | Convert text to path/case |
case_to_sentence | Convert text to Sentence case |
case_to_train | Convert text to Train-Case |
case_to_capital | Convert text to Capital Case |
encode_base64 | Encode text to Base64 |
decode_base64 | Decode Base64 to text |
encode_url | Encode text for URLs |
decode_url | Decode URL-encoded text |
encode_html | Encode HTML entities |
decode_html | Decode HTML entities |
format_json | Format and beautify JSON |
format_xml | Format and beautify XML |
format_sql | Format and beautify SQL |
format_html | Format and beautify HTML |
count_characters | Count characters in text |
count_words | Count words in text |
count_lines | Count lines in text |
analyze_readability | Calculate readability metrics |
string_trim | Trim whitespace from text |
string_substring | Extract a substring |
string_replace | Replace text |
string_split | Split text into an array |
string_join | Join an array into text |
generate_uuid | Generate a UUID |
validate_uuid | Validate a UUID |
generate_md5 | Generate MD5 hash |
generate_sha1 | Generate SHA-1 hash |
generate_sha256 | Generate SHA-256 hash |
generate_sha512 | Generate SHA-512 hash |
generate_hmac | Generate HMAC hash |
generate_lorem_ipsum | Generate lorem ipsum text |
regex_test | Test a regex pattern against text |
regex_replace | Replace text using a regex pattern |
regex_extract | Extract matches using a regex pattern |
regex_split | Split text using a regex pattern |
检查服务 ## Inspector
工具在线测试： https://mcp.xiaobenyang.com/inspector/1777316659720195
Online Tool test https://mcp.xiaobenyang.com/inspector/1777316659720195
Related MCP server: PDF Reader MCP Server
服务配置 MCP Server Config
如何获取 XBY-APIKEY ？ How to get XBY-APIKEY ?
访问小笨羊科技网站 https://xiaobenyang.com，注册用户即可获得APIKEY Visit XiaoBenYang website https://xiaobenyang.com, register and get the APIKEY.
SSE
{
"mcpServers": {
"文本转换工具": {
"headers": {
"XBY-APIKEY": "<YOUR_XBY_APIKEY>"
},
"type": "sse",
"url": "https://mcp.xiaobenyang.com/1777316659720195/sse"
}
}
}STREAMABLE HTTP
{
"mcpServers": {
"文本转换工具": {
"headers": {
"XBY-APIKEY": "<YOUR_XBY_APIKEY>"
},
"type": "streamable_http",
"url": "https://mcp.xiaobenyang.com/1777316659720195/mcp"
}
}
}STDIO
{
"mcpServers": {
"文本转换工具": {
"command": "npx",
"args": [
"-y",
"xiaobenyang-mcp"
],
"env": {
"XBY_APIKEY": "<YOUR_XBY_APIKEY>",
"mcpId": "1777316659720195",
},
"transport": "stdio"
}
}
}
Available Tools
43 toolsanalyze_readabilityanalyze_readabilityC
Calculate readability metrics
Inputs: text (required).
case_to_camelcase_to_camelC
Convert text to camelCase
Inputs: text (required), delimiter, locale, mergeAmbiguousCharacters.
case_to_capitalcase_to_capitalC
Convert text to Capital Case
Inputs: text (required), delimiter, locale, mergeAmbiguousCharacters.
case_to_constantcase_to_constantB
Convert text to CONSTANT_CASE
Inputs: text (required), delimiter, locale, mergeAmbiguousCharacters.
case_to_dotcase_to_dotC
Convert text to dot.case
Inputs: text (required), delimiter, locale, mergeAmbiguousCharacters.
case_to_kebabcase_to_kebabC
Convert text to kebab-case
Inputs: text (required), delimiter, locale, mergeAmbiguousCharacters.
case_to_nocase_to_noC
Convert text to no case
Inputs: text (required), delimiter, locale, mergeAmbiguousCharacters.
case_to_pascalcase_to_pascalC
Convert text to PascalCase
Inputs: text (required), delimiter, locale, mergeAmbiguousCharacters.
case_to_pascal_snakecase_to_pascal_snakeC
Convert text to Pascal_Snake_Case
Inputs: text (required), delimiter, locale, mergeAmbiguousCharacters.
case_to_pathcase_to_pathC
Convert text to path/case
Inputs: text (required), delimiter, locale, mergeAmbiguousCharacters.
case_to_sentencecase_to_sentenceC
Convert text to Sentence case
Inputs: text (required), delimiter, locale, mergeAmbiguousCharacters.
case_to_snakecase_to_snakeC
Convert text to snake_case
Inputs: text (required), delimiter, locale, mergeAmbiguousCharacters.
case_to_traincase_to_trainC
Convert text to Train-Case
Inputs: text (required), delimiter, locale, mergeAmbiguousCharacters.
count_characterscount_charactersC
Count characters in text
Inputs: text (required).
count_linescount_linesC
Count lines in text
Inputs: text (required).
count_wordscount_wordsC
Count words in text
Inputs: text (required).
decode_base64decode_base64C
Decode Base64 to text
Inputs: text (required).
decode_htmldecode_htmlC
Decode HTML entities
Inputs: text (required).
decode_urldecode_urlB
Decode URL-encoded text
Inputs: text (required).
encode_base64encode_base64C
Encode text to Base64
Inputs: text (required).
encode_htmlencode_htmlC
Encode HTML entities
Inputs: text (required).
encode_urlencode_urlC
Encode text for URLs
Inputs: text (required).
format_htmlformat_htmlC
Format and beautify HTML
Inputs: text (required), indent_size.
format_jsonformat_jsonC
Format and beautify JSON
Inputs: text (required), indent_size.
format_sqlformat_sqlC
Format and beautify SQL
Inputs: text (required), indent_size.
format_xmlformat_xmlC
Format and beautify XML
Inputs: text (required), indent_size.
generate_hmacgenerate_hmacD
Generate HMAC hash
Inputs: text (required), key (required), algorithm.
generate_lorem_ipsumgenerate_lorem_ipsumC
Generate lorem ipsum text
Inputs: count, units, paragraphLowerBound, paragraphUpperBound, +3 more.
generate_md5generate_md5C
Generate MD5 hash
Inputs: text (required).
generate_sha1generate_sha1C
Generate SHA-1 hash
Inputs: text (required).
generate_sha256generate_sha256C
Generate SHA-256 hash
Inputs: text (required).
generate_sha512generate_sha512C
Generate SHA-512 hash
Inputs: text (required).
generate_uuidgenerate_uuidD
Generate a UUID
Inputs: version, namespace, name, uppercase.
regex_extractregex_extractC
Extract matches using a regex pattern
Inputs: text (required), pattern (required), flags.
regex_replaceregex_replaceC
Replace text using a regex pattern
Inputs: text (required), pattern (required), replacement (required), flags.
regex_splitregex_splitC
Split text using a regex pattern
Inputs: text (required), pattern (required), flags.
regex_testregex_testC
Test a regex pattern against text
Inputs: text (required), pattern (required), flags.
string_joinstring_joinC
Join an array into text
Inputs: parts (required), delimiter.
string_replacestring_replaceD
Replace text
Inputs: text (required), search (required), replace (required), replace_all.
string_splitstring_splitC
Split text into an array
Inputs: text (required), delimiter, limit.
string_substringstring_substringC
Extract a substring
Inputs: text (required), start, end.
string_trimstring_trimC
Trim whitespace from text
Inputs: text (required), trim_type.
validate_uuidvalidate_uuidC
Validate a UUID
Inputs: uuid (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
C2.9/5.0
Scored across 43 tools
Disambiguation5/5
Every tool has a clearly distinct purpose with no ambiguity. The case conversion tools target specific case formats, encoding/decoding tools handle different formats, and string operations are well-separated. Even similar-sounding tools like string_replace and regex_replace are clearly differentiated by their descriptions.
Naming Consistency5/5
All tools follow a consistent verb_noun or noun_verb pattern with snake_case throughout. The naming is highly predictable: case_to_*, count_*, decode_*, encode_*, format_*, generate_*, regex_*, string_*, and validate_* patterns create excellent consistency.
Tool Count2/5
43 tools is excessive for a text processing server. While the domain is broad, many tools could be consolidated (e.g., 13 case conversion tools could be a single parameterized tool). The count feels bloated and will overwhelm agents with too many similar options.
Completeness5/5
The tool surface is remarkably complete for text processing. It covers case conversion, counting, encoding/decoding, formatting, hashing, generation, regex operations, string manipulation, and validation. No obvious gaps exist for common text manipulation needs.
Maintenance
ActivityInactive
ResponsivenessOutdated data
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